{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"name":"chapter2 exercise 2nd.ipynb","version":"0.3.2","provenance":[{"file_id":"1Iea6vpbOgANc8e9AGwJ3r-5mzkmX6PqY","timestamp":1562737081942}],"collapsed_sections":[]},"kernelspec":{"name":"python3","display_name":"Python 3"}},"cells":[{"cell_type":"code","metadata":{"id":"e1hxlS762vSo","colab_type":"code","colab":{}},"source":["import numpy as np\n","import pandas as pd\n","import matplotlib.pyplot as plt"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"FsnoWExf22N2","colab_type":"code","outputId":"338eb199-d789-4d10-9ae6-f82eb0a2e92c","executionInfo":{"status":"ok","timestamp":1562745506916,"user_tz":-540,"elapsed":1724,"user":{"displayName":"조정효","photoUrl":"","userId":"12388356131346241220"}},"colab":{"base_uri":"https://localhost:8080/","height":35}},"source":["from google.colab import drive\n","drive.mount('/content/drive')"],"execution_count":0,"outputs":[{"output_type":"stream","text":["Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\"/content/drive\", force_remount=True).\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"zgrySUDa3AyE","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":163},"outputId":"19dba3c9-9f19-4ee1-a15a-5588dd362387","executionInfo":{"status":"error","timestamp":1563639254467,"user_tz":-540,"elapsed":867,"user":{"displayName":"조정효","photoUrl":"","userId":"12388356131346241220"}}},"source":["data = pd.read_csv('/content/drive/My Drive/Colab Notebooks/parq/clean_IVE_tickbidask.parq')"],"execution_count":1,"outputs":[{"output_type":"error","ename":"NameError","evalue":"ignored","traceback":["\u001b[0;31m---------------------------------------------------------------------------\u001b[0m","\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)","\u001b[0;32m<ipython-input-1-822478f2d50a>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread_csv\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'/content/drive/My Drive/Colab Notebooks/parq/clean_IVE_tickbidask.parq'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m","\u001b[0;31mNameError\u001b[0m: name 'pd' is not defined"]}]},{"cell_type":"code","metadata":{"id":"gmZkQEKr5qL4","colab_type":"code","outputId":"d7ab8e1b-6b37-4723-9fbc-2bb95452ad4f","executionInfo":{"status":"ok","timestamp":1562745519861,"user_tz":-540,"elapsed":8690,"user":{"displayName":"조정효","photoUrl":"","userId":"12388356131346241220"}},"colab":{"base_uri":"https://localhost:8080/","height":233}},"source":["data = data.set_index(pd.to_datetime(data.date_time))\n","data.drop(columns='date_time', inplace=True)\n","data['dollar'] = data['price']*data['volume']\n","data.head()"],"execution_count":0,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>price</th>\n","      <th>volume</th>\n","      <th>buy</th>\n","      <th>sell</th>\n","      <th>dollar</th>\n","    </tr>\n","    <tr>\n","      <th>date_time</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>2018-11-21 09:00:00</th>\n","      <td>266.200012</td>\n","      <td>1.0</td>\n","      <td>0.0</td>\n","      <td>1.0</td>\n","      <td>266.200012</td>\n","    </tr>\n","    <tr>\n","      <th>2018-11-21 09:00:00</th>\n","      <td>266.200012</td>\n","      <td>1.0</td>\n","      <td>0.0</td>\n","      <td>1.0</td>\n","      <td>266.200012</td>\n","    </tr>\n","    <tr>\n","      <th>2018-11-21 09:00:00</th>\n","      <td>266.250000</td>\n","      <td>21.0</td>\n","      <td>21.0</td>\n","      <td>0.0</td>\n","      <td>5591.250000</td>\n","    </tr>\n","    <tr>\n","      <th>2018-11-21 09:00:00</th>\n","      <td>266.299988</td>\n","      <td>1.0</td>\n","      <td>1.0</td>\n","      <td>0.0</td>\n","      <td>266.299988</td>\n","    </tr>\n","    <tr>\n","      <th>2018-11-21 09:00:00</th>\n","      <td>266.350006</td>\n","      <td>2.0</td>\n","      <td>2.0</td>\n","      <td>0.0</td>\n","      <td>532.700012</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                          price  volume   buy  sell       dollar\n","date_time                                                       \n","2018-11-21 09:00:00  266.200012     1.0   0.0   1.0   266.200012\n","2018-11-21 09:00:00  266.200012     1.0   0.0   1.0   266.200012\n","2018-11-21 09:00:00  266.250000    21.0  21.0   0.0  5591.250000\n","2018-11-21 09:00:00  266.299988     1.0   1.0   0.0   266.299988\n","2018-11-21 09:00:00  266.350006     2.0   2.0   0.0   532.700012"]},"metadata":{"tags":[]},"execution_count":88}]},{"cell_type":"markdown","metadata":{"id":"cDATbqkYYSg2","colab_type":"text"},"source":["# 2.1.\n","# (a)"]},{"cell_type":"code","metadata":{"id":"NF4m7id16yuo","colab_type":"code","colab":{}},"source":["def tick_bar(df,m):\n","  return df.iloc[::m]"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"0TYIPuQE67-Y","colab_type":"code","outputId":"7fe45806-e115-47cd-bc17-f9ac11ff6edd","executionInfo":{"status":"ok","timestamp":1562760233305,"user_tz":-540,"elapsed":705,"user":{"displayName":"조정효","photoUrl":"","userId":"12388356131346241220"}},"colab":{"base_uri":"https://localhost:8080/","height":35}},"source":["tb = tick_bar(data,5015)\n","len(tb.index)"],"execution_count":0,"outputs":[{"output_type":"execute_result","data":{"text/plain":["1049"]},"metadata":{"tags":[]},"execution_count":381}]},{"cell_type":"code","metadata":{"id":"fvpfkrEP7BDg","colab_type":"code","outputId":"9e105dd3-3e36-432e-a9e1-0ad98d1cf54d","executionInfo":{"status":"ok","timestamp":1562760236685,"user_tz":-540,"elapsed":920,"user":{"displayName":"조정효","photoUrl":"","userId":"12388356131346241220"}},"colab":{"base_uri":"https://localhost:8080/","height":300}},"source":["tb.price.plot(marker='*',ls='',label='tick bar')"],"execution_count":0,"outputs":[{"output_type":"execute_result","data":{"text/plain":["<matplotlib.axes._subplots.AxesSubplot at 0x7f7bfa52ae48>"]},"metadata":{"tags":[]},"execution_count":382},{"output_type":"display_data","data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAAXsAAAEJCAYAAAB11IfBAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n6Eno6Ky7hlXbzeae7UZzT7Tmy3vvn07JplRIV4mnnZzEQKtQ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23sR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\nAha3AAAAAElFTkSuQmCC\n","text/plain":["<Figure size 432x288 with 1 Axes>"]},"metadata":{"tags":[]}}]},{"cell_type":"code","metadata":{"id":"jIs78kmX7Bt7","colab_type":"code","colab":{}},"source":["def volume_bar(df, m):\n","    aux = df.reset_index()    \n","    idx = []\n","    vol_acum = []\n","    c_v = 0\n","    for i, v in aux.volume.items():\n","        c_v = c_v + v \n","        if c_v >= m:\n","            idx.append(i)\n","            vol_acum.append(c_v)\n","            c_v = 0\n","    volume_bar = aux.loc[idx]\n","    volume_bar.loc[idx, 'cum_vol'] = vol_acum \n","    volume_bar = volume_bar.set_index('date_time')\n","    return volume_bar"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"OXp5ey66-APA","colab_type":"code","outputId":"a1229911-ffe6-4c19-b1d6-b85afd24995c","executionInfo":{"status":"ok","timestamp":1562760242666,"user_tz":-540,"elapsed":2874,"user":{"displayName":"조정효","photoUrl":"","userId":"12388356131346241220"}},"colab":{"base_uri":"https://localhost:8080/","height":35}},"source":["vb = volume_bar(data,29200)\n","len(vb)\n"],"execution_count":0,"outputs":[{"output_type":"execute_result","data":{"text/plain":["1049"]},"metadata":{"tags":[]},"execution_count":384}]},{"cell_type":"code","metadata":{"id":"grRVMbJa-yJK","colab_type":"code","outputId":"9e997e71-a694-46d4-cf2a-74b205df46ff","executionInfo":{"status":"ok","timestamp":1562760244617,"user_tz":-540,"elapsed":897,"user":{"displayName":"조정효","photoUrl":"","userId":"12388356131346241220"}},"colab":{"base_uri":"https://localhost:8080/","height":300}},"source":["vb.price.plot(marker='*',ls='',c='y')"],"execution_count":0,"outputs":[{"output_type":"execute_result","data":{"text/plain":["<matplotlib.axes._subplots.AxesSubplot at 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AMnU1W0qYFP2SiA5rD4a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\nZmYV8B1Glncc6mBoUAAAAABJRU5ErkJggg==\n","text/plain":["<Figure size 432x288 with 1 Axes>"]},"metadata":{"tags":[]}}]},{"cell_type":"code","metadata":{"id":"_rBMqFh6An8y","colab_type":"code","colab":{}},"source":[""],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"8ibyjoixBFWC","colab_type":"code","colab":{}},"source":["def dollar_bar(df, m):\n","    aux = df.reset_index()    \n","    idx = []\n","    d_acum = []\n","    c_dv = 0\n","    for i, dv in aux.dollar.items():\n","        c_dv = c_dv + dv \n","        if c_dv >= m:\n","            idx.append(i)\n","            d_acum.append(c_dv)\n","            c_dv = 0 \n","    dollar_bar = aux.loc[idx]\n","    dollar_bar.loc[idx, 'cum_dollar_vol'] = d_acum \n","    dollar_bar = dollar_bar.set_index('date_time')\n","    return dollar_bar\n"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"0FwHAqCKCOkq","colab_type":"code","outputId":"25fa0a25-43a8-49d3-a2fd-9477c54815f0","executionInfo":{"status":"ok","timestamp":1562760269350,"user_tz":-540,"elapsed":2830,"user":{"displayName":"조정효","photoUrl":"","userId":"12388356131346241220"}},"colab":{"base_uri":"https://localhost:8080/","height":35}},"source":["db = dollar_bar(data,8040000)\n","len(db)"],"execution_count":0,"outputs":[{"output_type":"execute_result","data":{"text/plain":["1049"]},"metadata":{"tags":[]},"execution_count":389}]},{"cell_type":"code","metadata":{"id":"h8Q_u5b1CTII","colab_type":"code","outputId":"a0f58db6-eb75-4aa3-bfba-eebd15698e4f","executionInfo":{"status":"ok","timestamp":1562760273868,"user_tz":-540,"elapsed":853,"user":{"displayName":"조정효","photoUrl":"","userId":"12388356131346241220"}},"colab":{"base_uri":"https://localhost:8080/","height":300}},"source":["db.price.plot(marker='*',ls='',c='r')"],"execution_count":0,"outputs":[{"output_type":"execute_result","data":{"text/plain":["<matplotlib.axes._subplots.AxesSubplot at 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szx3dqb/36D/ZTmOs/IHgir7oNE4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\nefZs5rFjvfWXV2MdR75CbcbZG5y2rZdfBkaNytxm1CgpA6pkYj929da4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3z4WC197wiC2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\nZa8oilIH/H8lrQwOlSJBZAAAAABJRU5ErkJggg==\n","text/plain":["<Figure size 432x288 with 1 Axes>"]},"metadata":{"tags":[]}}]},{"cell_type":"code","metadata":{"id":"EgB8rvU9Cgkw","colab_type":"code","outputId":"1fe2f16e-1118-4f0c-bcc9-23002e99a532","executionInfo":{"status":"ok","timestamp":1562760275934,"user_tz":-540,"elapsed":869,"user":{"displayName":"조정효","photoUrl":"","userId":"12388356131346241220"}},"colab":{"base_uri":"https://localhost:8080/","height":89}},"source":["logic_time = {'close':'last'}\n","time = data.resample('1h').apply(logic_time)['close'].dropna()\n","len(time)"],"execution_count":0,"outputs":[{"output_type":"stream","text":["/usr/local/lib/python3.6/dist-packages/ipykernel_launcher.py:2: FutureWarning: using a dict with renaming is deprecated and will be removed in a future version\n","  \n"],"name":"stderr"},{"output_type":"execute_result","data":{"text/plain":["1049"]},"metadata":{"tags":[]},"execution_count":391}]},{"cell_type":"code","metadata":{"id":"UEqg_AlbDAgK","colab_type":"code","outputId":"e2b2eb58-efbe-441c-fc14-987afd53e7f5","executionInfo":{"status":"ok","timestamp":1562760278910,"user_tz":-540,"elapsed":1362,"user":{"displayName":"조정효","photoUrl":"","userId":"12388356131346241220"}},"colab":{"base_uri":"https://localhost:8080/","height":349}},"source":["\n","\n","plt.figure(figsize=(10,5))\n","time.price.plot(marker='o', ms=3, color='b',alpha=0.2,label='time bar')\n","\n","\n","tb.price.plot(marker='*',                                     ls='',\n","                                      label='tick bar')\n","vb.price.plot(marker='x',\n","                                     ls='',\n","                                     label='vol bar')\n","db.price.plot(marker='^',\n","                                        ls='',\n","                                        color='y',\n","                                        label='dollar bar')\n","plt.legend()"],"execution_count":0,"outputs":[{"output_type":"execute_result","data":{"text/plain":["<matplotlib.legend.Legend at 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dUh+d+PR1QIoFOcioybl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SEcX/+D2q/fBAwKGk3WXHfcG3aYzSpEsp2Et/4ETEx04mr+4io7U9AdFo7b3xmLtNZ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\nWKJljDHGGJMg/x/e+QhJQOeF1wAAAABJRU5ErkJggg==\n","text/plain":["<Figure size 720x360 with 1 Axes>"]},"metadata":{"tags":[]}}]},{"cell_type":"markdown","metadata":{"id":"wbHZfQpAEnt0","colab_type":"text"},"source":["# (b) ??why"]},{"cell_type":"code","metadata":{"id":"7PUna4eIRqHe","colab_type":"code","colab":{}},"source":["weekly_tick_count = tb.price.resample('1w').count()\n","weekly_vol_count = vb.price.resample('1w').count()\n","weekly_dollar_count = db.price.resample('1w').count()"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"Dx0szIdbRqM2","colab_type":"code","outputId":"af10b8c9-4dce-485a-c0e3-f07cbfa2de6a","executionInfo":{"status":"ok","timestamp":1562760294399,"user_tz":-540,"elapsed":1396,"user":{"displayName":"조정효","photoUrl":"","userId":"12388356131346241220"}},"colab":{"base_uri":"https://localhost:8080/","height":313}},"source":["fig, ax = plt.subplots(1)\n","weekly_tick_count.dropna().plot(ax=ax)\n","weekly_vol_count.dropna().plot(ax=ax)\n","weekly_dollar_count.dropna().plot(ax=ax)\n","ax.legend([\"tick\", \"vol\", 'dollar'])\n","\n","print(weekly_tick_count.dropna().std(),\n","weekly_vol_count.dropna().std(),\n","weekly_dollar_count.dropna().std())"],"execution_count":0,"outputs":[{"output_type":"stream","text":["7.765136733171444 7.338926930066035 7.287650409072082\n"],"name":"stdout"},{"output_type":"display_data","data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAAXcAAAEWCAYAAACdaNcBAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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0qA/LyTTzsKshfgkH9uzp0DZF8xN1+EOSByrUUXEXtxUzFLjXgpiExkdP7ojXbSn\nRFvUcRwtkQt4uf31JEgyxpjz5X4vxKSMWHZWSyj2dHK8bgJygCp3Vdj3lzhc6C1q8dIEZyNkTINR\n15GgCPKNar57st1Mfqpdi7v3kNpgK8NCElEJ6f1tykWZmDQRgY7dZiue0xGU4+x/A6wJ/KH1EL/f\n+3u2ZU5QezUf+aDvjO1FBpxzr3ZXIxBkl+7qaKcH8M6eCmwmPTeEoU1u0Ov4n9um4W2cx5YoKydO\nDLwfRlVbGqTZXUGVEux05g4wI3UGdqOdDSY9KBJzpD0A7Clr4lBlC4dOlpAvjrNPr/RKlkw7UVHJ\nGBSFRlddxPd6Qk0kyFLHXkm4TMqMwxOQ8MSNIrdVfW4kGjPFDjeWtsrUsYEApE+DqATInstst4t9\ndfvwhrzMy0tiZ2mjKnmgETHOgBMPIaJDJpJiwkt37U+ijFEMj86jwGLHVx6mc/c2wbE11IxbxppT\nnwCwquUYJIyE/Sv60NreY0A692RjNEZFUkXAAG9A4qOD1SyZmEaUyRDWOFOHx3PLiLswyDpe9VdB\na/gzwEtBdYuXdNGAQycRQjkrDfJMjDojV2ZeyebGQ0jRqcSf/pzUGAu7y5pYvrmEpab97DcbCSAz\nO6134u0AJrsqHtYd2V+f4rqoaFhnTM5S4/yVxmxy6tV4eyRx92KHC1tMDTmGaGLQw7Dx6okxS5nT\nWEVQDrKvbh/z8hIJhOSz9i40wqfGrYrymYJRJEZ3T7/oUjM7fQYnzAJ949Hwbjj8Hkh+Xo+2oKCw\nMGshG05voGXi7VC2FZpK+9Te3mDAOfcadw2pIRmih6k9NoHPjtTg8ofCCsmcyX8umYHdNZmPo6Oo\nPDiw3raVzV7y2gTD4Pw0yDNZlLWIRn8T+0dcgShax+zhNracdPDRwWoeTDhMQVwyBmFgxrAZvWaf\n2Z5AjCTT2g3ZX6/wtomGhd+UGyA3KRqbSc+RUDrxAS9xRntEGTMlDjeSsZzxIVTHbmwri89fyjSf\nHwM6CqoLmJWbiEEntNBMN2kvYFJCsSRF0Ju3P5mVNo2QTqFcuMBZe/Eb9q+gJXkMK6s2c0PuDXx7\n0rcJyAE+jU9GDeC/2ec295SB59xdVaS5G2H0DR2l6yv3VJARZ2V2bmTtvGKtRr4x699RgJcOv90H\n1nafqmYfk6IawnLuV2ZciUFnYIPdDgEXy+wnafYEsYoAo1y72GGPY1LyJKKMvbdEtsao4mGuQHgN\nQtqRZAmfCBAvKWCJu/gNZ6DXCSZkxPJFqxqrzzEnhD1z9wYkqly1BGhiQotDDcm0E59DVMp4pigG\nCqoKiDYbmDo8TnPu3aR95o6UjMXYM5mLS0W7iNg+ixml5iLFTA3FcHoHbw0fhyfk4d/G/xvjEscx\nMnYkq6u2Qu5VaorkAMzCO5MB5dwVRaHaXU1q0N+RJVPT4mNbUT23T8tA1w0NiwdnTWWSP4lPjK1U\nVx/rbZO7TXWzlzHGOirMFgzCwLCornPCo03RzEqdxQZnCYopmuletTDrxyOrcMp+joSczEnvvXg7\ngC02Ebss445Q9rcl0IIiwIbloroynTE5K4619epLIRdj2M69pN6FzqK2fRvvblEzZc5kzFJmNzs4\n1niMZl8zc0cmcaCyhRZPMGIb+4u3T7zNNz79Ro9aEJ7L3w7+je+v+35Eejs1LaXoFQXZMPA3U9tJ\niUohzpDMPosZZ+m+C1+8/1/4dDr+4S5mXsY8TtfEcf3vNrN4+I0UOgopy78Bmk5BecGlMb6bDCjn\n3uxvxi8HSQuFIEMNMbxfWImswO0RhmTaEUJw55Tv49XpWPXRD3vT3B5R1ewlW9RSERVLWnQaBt2F\n9xIWZi2kzFnOqRHziK9Yx8+X5XNvzEF22uNR6N3NVICY+GRiZBl3hLK/1U51Nhyt694qYlJmLE0h\nC4HoDHICfhp8DWEVUpU43OitFegQ5AeCaqbMmeQvZY7Xi4LCzpqdXDkqCUWB7SWDY/auKAqvHnqV\nnTU72V2zu1fGDMpB/n7k72yq2MT26vAruatbShkWkghYB6bUb1eMS5zKHrMVV/neri+SZdi/glU5\n02j0N3Pv6K/xH+8d5EStC1zT0Akdq3Q+MNoGvBzBgHLu7bG8VEwQlYCiKLyzp4Lp2fHkJtm6Pe6y\nmbeTELSyTTql5q72MyFJptbpJ02qosJo7HIz9UwWZC0AYH1CKsJVw0PZDVhLPqMgJYcoQxQTkib0\nqo0ms4UoSeCNUPa3QzQsTF2Zc5mUoc7a66255DrVXPRwMmaKHS70lgpG6qOx6s0dPVk7SJvCBHMy\ntra4+5SsOGwm/aDJdy90FFLuLAfgg+Leyf7aWrGVRl8jBp2Blw+9HPZ9Na4qUqUQIdvAa4x9Ia4e\nPpMmg8DRdIG6l7KtSC2nec0UYkLiBNbvs+Nw+RkWY+azA17mpM1hddmnyGNvgsPvQ9B76T5AhAwo\n594ey0uNSgUhOFjZwsk6V8Qbqeei0+kYk3gr+ywWij/8EQS734SiN6hz+lFkiThfJZVCIsN+8Sq/\nVFsq4xLHscFfC0IP654GTz079BIzU2di1Bl73U6zYsBDKKIle0WHrkxkm6ntZCVYiY8yclLJJKdB\ndWbhbKoW17kwRlUyIShB6iTQn7MSEgLDmCXM9HopqNqOUa9j9ojEQRN3/6DoA6wGK0tylrC2bC2e\nYM+VLVcVryLBksD3pnyPHdU7ONwQniRutbee1JCEGATVqWcyM01dzZXS0LVTLvwX62ISKPc3cm36\nPbxeUMZX52TzratGsL+ihdnJ11HtrmZ3zgy1kc6xjy7hJ4iMAeXc22fuabFq26539lRgMui4cVLP\nl3/fv+I+UOATpQm2/rbH4/WEqmY1DdJHiEY5ENbMHdSsmYONR6nPng2lW6gyminzN/ZqCuSZmBUT\nsgB3MPy4e7uuTIItsgKmdoQQTMyMY7cnlUy/B0OYAmInGspQdG4mtNSdH5JpZ8xS5njcnHZVUOmq\nZO7IRErq3R0FZQMVX8jHp6Wfsjh7Mffk34M35OXz8s97NGazr5mNFRtZmruUe8bcQ7QxmlcOvXLR\n+2RFpjboJC0Uwhg3uJx7XlweZsXEPrMJpbaT2bvfhXLkA15OSWO4PZv3v4gnMdrMT64fwy1TMtDr\nBFVVediMNj5wl0JslrqxOkAZUM69xlWNWVaIjx9JICSzan8Vi8cNI9ba81nppNQc7Mo43rInIG19\nAeqLesHi7lHV4iNb1ISVKXMmC4erQmIbU/MA2JGp5nH3dry9HbOiprlFIh7mcNUhFIWEmO7/4U/K\niGVLSxJGINMcf9GwjCwrnPaoWtvjPc6zM2XOJOcq5kjq//mO6h1cOWpwSABvOL0BV9DFzcOvZao+\nhszoTFYVrerRmB+XfkxIDnFN0pW0VFTwlTFfYW3ZWk63nr7gfQ3eBkLIRIdMJMZ0P1TaH+iEjmzr\nKAotJuqL95x/wdHV7NKHOCw5ybcu42CFk/9aNo4Yi5Fku5n5o5NZXejguuzrWFu+Fs+E29Uwb2vk\nVdwBKUBRU9/6oIHl3FtKSZVCiIRc1h+ro8kT5M4ehmTO5PrsZTQaJHZZbPDRj/stlamq2UuuqOlQ\ngwzXuY+KG0VGdAYbcIPexPbYJBItieTF5fWJnSad+scbiXNv9dQQK8tER6Arcy6TMmM5IamZGLnC\nctGZe02rD8lYjgEdowPB8zNl2jGYGJG9kGRJoaBqO2OG2UmKNvHFAHfuHxR/QKotlZl7VyKWz+fm\nnCXsrNlJtStyp9LO6uLVjI4fje/N/8H292u5d8St6IWe1468dsH72lfXhqBt0OS4n8nUjCsoNpmo\nKt15/sn9/+LlpGHEmxP4bEcmV41K4qYzogZ3TMukttVPrmU+3pCXdcnDVZ33g29FbMcvtv+Cr3z4\nlV4Jr3XFgHLu1c7TpIYkiM/l3b0VJNvNXDWqd7RSAH445zYU2cyfEyao0p0HV/ba2JFQ1exllNFB\nhUkVQAs3LCOEYGHWQgoc+3F/bwc7/HXMSZ/TKxK/nWHWqSqVkShDOv0OEiQZa1z3wjKgpkN6sOC0\npJMTDFHuLCckdy3VWuJwo7NUMFJEYTTHQGLXLzsxdhmzvR52VG5DQWFeXhJbixoGbOs9h8fB9qrt\n3JR9Pboj70PAxU16NUNqdcnqbo1Z0lLCwfqDZOmvYKpvJ3E4CWx/l5tH3sz7Re/T4O16k7kjxz0Y\nS+IgdO7XjrgCgJMt5+wvtFRwrHI724wQF1yEP6Tn6VsmnPW3dc3YFGIsBgpPxJERncEHdQWQOVNV\niozg92dXzS5WFa8iKAep80Qu7xEuA8u5tynNNVsy2HC8jlunpGPQ956J8VHRZJnmsE9XjSttCnz6\nU1VD4hJT1exjjKGOiuh47CY7sebwM0sWDV9EQA7wWvknNPoae03itzMsbRkvkczcPaFmEiQJ0c2Y\nO8CwGAspdjPlhmxy3U0E5SBVrq7lI4rqWtFbKpkUCELa5Avn1+ddyxxfgMagk5NNJ5k3Mol6l19N\ndRuAfFTyEbIic5NshYALhI7M0gKmD5vO6uLV3XoprSpahU7oce9pxSb8NCrRxBYu56GxDxCQArxx\nrOsUv/aZuz+YSNIgkR44k8kpE9EpcEqpU9Me29m/gldi7Zh1Fg4cHcf3FuSdl6FnMepZNjmdT4/U\ncX32jeys3knNuGXgOArV4TUCCUpBnil4piMBYkg496AcpD7oIi0ksapUR1BSuGN67zcCuGfsbaAL\n8OeMG8DTAOue6fVnXIyqZi/DRQ0VZkvYs/Z2pqZMJdYc27H51VfxdoAoU5vsbwT6Ml7FRbwsRywa\ndi6TMuM4GEgjt0kVArtQxsz+2pMIvZ9JrXVdh2TascYxO2kyoEoAz2tbGW4dgKEZRVH4oPgDJiVP\nIvf4ZxCXDeNvgxOfcMuImyhtLeVAfWSt4yRZYnXJauLFBK4NHUQ2RvN60o+JDdSQU76Ha4Zfw4pj\nK7oMF9S0niZKlmmSkgflzN1qsJJOIocsOkKNpepBRaHywBt8arMhXHMZkZDMIwtGdHr/HdMy8QVl\novyz1dWTWQd6c9gbq68efpVTLad4dNqjANR5h4Bzd3gcyCikGu28XehgXFoM+akxvf6c+ycvQIQS\neN9RCLO+DbtfhoreKQoJl5pmFymhaiqEEna8vR2DzsDVGVfjk3zkxOSQFt13hSS2DtnfmrDv8dKm\nK9ND5z45M5ad7mHk+NW01QvF3Y83qWJQ472erjNlziA1/xZyA0EKytaTEWclN8k2IOPuRxuPUtRc\nxC3pV0PJJph8j1q57alnsT4ei94S8cbqjpod1HnqqCwfy43m/ehGLyZh+m0clzPxb/ot/zb+IVoD\nraw80XnIsqa1jNSQRL1IIsYSnojfQCPPPo7DJhOnj7dVmFbs5u9yIwgd9ZWzeebWCZgNncsqTBse\nR26SjXWHJKalTGNV+VqU0TfAwbchdOGakNPO07x04CUWZy/mjlF3AKrf6ysGjHNvX+7Fm5I4WNnS\nJ7N2AINez+S4a2gVRzk47qtgT4UP//2SNdL2BEJYvbXolCBVsjfimTuoWTNAn6VAtmOLSkYfgexv\nSA7h1QWJlQFzz17MEzNjOS5nEifLxBuiLujca3wnMCp6RgSDXWfKnMmYJcz2+dhTf4CgFGReXiIF\nJQ2UOHonNKMoCh8eqOK5T48RCHVfKmBV8SqMOiPXNzcACnvjb+ClqhEoOiPRxeu5JvsaPi79GL/k\nD3vM905+gJCtLNLHEh1sgDE3cu34NF4KLcPceJRJLXXMGDaDvx/5O0H5fGmGalcVaaEQXuuwPtvr\n6Wtmj7gGv05H4amNADTte5V37dHILZO4ZcJY5uV1PTERQnDHtAx2nmrkqrQl6uop70o1ClC0tsv7\nFEXh2R3Pohd6npj5ONEnPydKGKjzhCFi1k0GjHNv36jRo2qsXDeu77qqf2/m3Qih8PvCD2HJr9Tu\nLDuX99nzzqSq2UeOrgaHXk9AkSKeuQPMS5/HvPR53Jp3ax9Y+CUmu6ov0+wJr4qzuU1BMloxQw//\n8CdlxlGspKMgyNXbunTunkAIn66MkbIFfVQixA2/+OBxWcwxD8OrhNjv2N9RJLf4t5t56r2D1LV2\nv8jti+J6bvnTNr7/xj7+tKGYH79V2K1+rUEpyJqSNSzIWkDswXdxpszg3pW1/M/6KoqipqIcW8PN\nI27GGXCy8fTGsMZ0BVysLfscf8sknhpRDjoDjFpMWqyVU6k3UK9Lgq2/498m/Bu1nlo+PvXxeWNU\n+9QCpqBtcEkPnMn1o+cDcKL1KAR9vFH+GT6dQHFey1M3jrvo/bdNy0QIaKobq66e/NWqvHVh13sV\na8vWsq1yGz/IXsqwN+6Dt79Git9LXWtFr32ucxkwzr26Lb/WTzpmg46MC7TS6ylzho/BKuWxu34t\n8phlMOo62PAstFT22TPbqW7xkiPOkPrtxsw9yhjFi4tf7HXJgXOxRCcQI8u0+sKT/XW41ZeATRd9\nkSsvToLNRHJCHPXGNHJCcpcx9xO1LegsVUwO+NR4e5gvlZl5N6JTFHaUr2fq8Hg2PraQB2YP581d\np5n/3EZ+89lxnL7wRcWOVLXytZd3ct//20G908/zd03mySX5fHigmp99cCjijc8tlVto8jdxS9w4\naDjJ83XTyYi38rUrsnmtaTyisZjZxjhSolJYVRxeaOZfhz9CUgLMTr6O4XUbIXseWFW5h4XjM/lL\n4AYo28pVipW8uDxeOfTKWXb7JT+NIQ+pUgjsg9e5J9uSSA4ZOCUa8Bz9gBVRRmJcGTx57QKS7Rff\nR8iIs3LFiEQ+3N/IouGL+LjsU/wT7oATn0InbSldARe/KvglYzFzz+cvgLMGJt9HsiThcHc/nfVi\nDBjnXtNURKwkUR5IJTsxqlsKkJGwMGMpkqGW947tgKXPgRyCT57s02eCupmaI2o4bW5Lg+zGzP1S\nYY1RG3Y4g+Fly5S3dU+yG3pnr2RSZhzHpAxy3S00+hpp8Z/f1Lqg4jBCF2Kqqy68kEwbMWNvZYI/\nQEHZOgCS7WZ+ccsEPv/xfK4Zm8If1xcx/7mNvLLtFP5Q1x2bTjd6+NGbhdz4xy0Unm7mqaVjWf+T\nBdw5PZNH5o/kOwtG8s8d5fzmsxMRffbVxatJsCQw8WQhPkxsM13J69+Yzc9vHo9toto0fs+nb7Bs\nxDK2VW6j3nvhPQNFUfjb/rcgkMQL88ZD/fEO5VWAxeOGsSK0kIDBjvji93x9wtcpai5iS+WWjmtq\n3WoIIS5kICam9/fDLiW5ulSOmmHlrj/QrNcTq7ube2eGsepr445pmZQ1eMiPXogz4GRT2iiQg3Do\nnbMvbC7nTytvx+Fr5L/qGzAsfhp+sAdmfZMUSaLO248xdyGERQixUwixXwhxWAjxi7bjuUKIHUKI\nIiHEm0KIHuVF1TjLSQtJHHDHk53Y95Vvj15xB4ps4LUDKyE+B+Y/DkdXqW/fPqSy2afO3O0J6ISO\ntAG8vLXFJhEjybhD4UWzdmgAACAASURBVMkPVPZQV+ZcJmXEciCQRnar6lQ6m70X1qoNjyf6/GFt\npnaQOpHZipmDnipcgS9j7TlJNv7vvmms+v488lPt/GL1Ea59YRMfFFYinxFeaXQHeHr1Ea75zSbW\nHKzm21ePZPPjC/nW1SPO0jh//Pox3DtrOP+34f9v77zD46quvf2umdEUaTSjrpEtW67Y2BgbXOnG\nwWB6TQIEAgHiAIFAEgJ8tAsJSW5yA4SE5BJCTSEJuZDggCkGnIApxjYu4I57Ubd6nTlnf3+cI1uW\nJUsajWY0Yr/PM49Gp+y9z5FmzT5rr/Vbn/Pke1t7NLQ2aYBTC+biWvsPFssMHr9uDkMzfIgIt3/l\nS+zwHIFr82t4mmdgKINXtx5e4+S5ZStpkE2cWDCPnD3WFxrjzty/f3wonczMLN5MOxfWv8K89LGE\n0kIHCYq1rYs5w/6kTGBqz/jMyexzOvmdVBFqSuMX51/cqwnlvKNCpLqdbNgaIs+Xx4LKVZA/6YBr\npnEfvHE36x6fyfOte/lK2igm3fgJnHALpPggMJS8iEFZa22/5Vj0ZObeAsxRSk0GpgDzRGQW8DPg\nEaXUGKAKuLYvAyluLCMUibCsNtAnBcieMiSQRb5rGtua3qeupQmOuxlyxsHC26C1/7LGiu0KTHu8\nfkKpIVKcsRf8ihX+zBxL072Hsr97bbnfzMNo0/eGowsz2GQWMqrFWjDszO++tW4DbtPFsEik+zDI\n9ogwKzQDA1i+Z0mnff/5upn84ZoZpHtSuOWvqzj3sSW8s6GU3yz+nFN+vphnP9jGhccM5d8/mM2d\nZ47vVCZDRHjwgqM4e1IBD766nheWHz69Hw5IA9QuryVAPePOmM+YvAOuLqdDGDrrYqY4tvDcK9sY\nljqOf23pOqGppinMox9ZoXp3n3IlbFwIoUkHrU+ICHMn5PNg5Skop5uUj37L1yd8nRWlK1hdbsVw\nt62LmeFgUsa4t+eE8dYXW63TyTHBS5gwpHdPImkeF/OOCrHw01LmjTiLJXuWUHHU+bD3E3j9Lnh0\nCsZHv+WHhSPI9GbxnfP/BL7Mdg3kkmsqwsro9Ik0FnRr3JVF29QmxX4pYA7QFi/1HNCn1b2S1lry\nTaE4kk5RdnyK7l58xPngbOTxj18BlxvOeQSqd8L7j/Zbn8XV9RRSwm6nY0C7ZAC8vjTSTGikZ9EY\nFfWlOJQisw+6Mu05amiAzRQyNBLBJY5ONWYqWrcwOpKCpA+xIp96weSjLsVrmizd+I9O94sIJx+R\nyys3n8jDX51EOf/h5iUX8fjOC2HUbaSNv5OFDV/j9H/OYNJzkw55nf7MJLaVfILTITz81cmcNDaH\nO19cwxtrDx9a+s/NL+M2Cjm7ejmtvjxGzTjnkGNcR56DA8VV2RvYuu1INlZtZOO+jZ2294s3NtDq\nW8aEzGMplBSryMS4sw85bu6EfEoi6ewquhBW/4WLC04k4A7w9KfW7P3gBKbknrnPHHsCAcNkaCvc\nc2F0dR4uObaQupYImep4DGWw0J9mKbZ+9BsoOp4XzryPtUY9t8+4k4C7w5eHw0leirWttJ8iZnrk\ncxcRp4isAsqARcAWoFop1RY/uBvo9BMtIvNFZLmILC8v79y/1BBuoFaFyXX6AWFkHNwyANdNnQdG\ngAVb7QWpESfA+HNg6ePQ0j8Zi5GqPaQQYbdqYah/4KvqeUwXTT2U/a1uLCbDNEnNjI3Od7o3BTNr\nLA4cDHf6D5m5N4WbaXXu4diWpt65ZGw8I2dzbNjgo/JVXR6jlGLxrnd4Zvu3aQr+jRHBQs4vupob\nJt9w6Gv8FdzgKeKG6lqur22iRRnMf3M+JQ0leFxOHr9iKpOHZXDz8yv5YEvnPvINlZtZt28tZsU4\nTnWuxn3MpeDoJOY6fyJkDOebeespdM9CKSdPrTpU42T1rmqeX/MuDncll0+4CDa9DigYf9Yhx84Y\nkUXQl8KfHOeCGSF1xXNcOv5SFu9azNaarZTU7SE7YlBu5iS9cXc6XdxUeB3fn/xfBLzRPYXMGpXN\n0Awf7611MjF7Igt2vQOXPg/XvEH5Bb/mV5+/wKyCWZw58sxOz8/z2Xkk/eR375FxV0oZSqkpQCEw\nAxjf0w6UUk8opaYppabl5uZ2ekzb416aw8qILIqDWwbA7XJxpH82VWoNWyrt2dQJt0JzNXzyh5j3\np5TCU7edJhEqIg0DfuYOluyvIdAU6V4Wt765gizDIDUzdmGsE4blsZt8RpiwrfZg4/7+rjWImExv\nLIchU3rfuDOFmemj+dxspLz+0Nn0itIVXPHaFdz671sRER499VFeueSvPDj7+9w45cYDr3GXc2NF\nGTcuepgbN33EjeMu59vXLOXx0OnUG03MX3glVc1VpHlcPHP1dEbkpPLN55azZvfBUUiGqfjuq0+i\nlINfFqXjUBGYcnnnYxeBcWeTsuM9nr9iFiktE3lt+0I2lBxoM2KY3PWPT0nPXoXP5WNu0VzLJRMc\nZmned8DldDBnfB4vbHVjjj8Plj3N5SPPw+1089za5yip3UnIiFBCFtlJ7pYBuOz07zJ3xiVRn+9w\nCBceM5T3Npdz6tCzrKen3JEwfBb/s+x/aDVauWfWPV3mA+TaCYj9lcjUq2gZpVQ1sBg4DsgQkbYU\ntUIg6jjCElvdTsjD7XJQEPBG21SvmX/sVxAxeeRDu5r5sOkw/Hj48DdgxLa+5r6GVgrNYvba2W/R\nhEHGGzfW36In+jINkWqyDBNXeuyM+9GFQdYZhRQ11rOrbtdBiTUf7LJm3BNbWnsVKdOeWaOtGexH\naw/EKG+u2sxNb9/E1a9fTUl9Cfcfdz8vnfcSc4bPOfiDGm6GD34Nj06GJb+ECefDzcth3k8hLZsj\nT/sJjzU42NtQwg2Lrqch3EBGqps/XjuTzDQ3Vz39MZ+XWQXIlVLc9dJqdrYuYWTasZxStRgKpkBe\nh4pS7Rl/Nhgt5JUt4c4TrwBnPVc+/4f9+vR//GgHa4srcQXWMLdoLqkK2LLYWkjtwuDMnZBPdWOY\ntSOvhpYaste+zAVjLuBfW/7FxprPKYgYFKvkd8vEiouOHYqpoKlqEi6Hi5e3vMwHez7gte2vcd2k\n6ygKFHV5bl7AWvNImFtGRHJFJMN+7wPmAuuxjHzb195VQNS1v4qrNgNQFw5RlNX/YZDtOW3MZNzG\ncD4oaxclc+KtULv70LCmPrK3upkiKWWne+CHQbbhxRprTxZ9Gsx6S3ogNTbRMgCTCjPYpIYyqq6C\niBlhT92BOcTays/wRlLIN4zeLaa2Y/zRVxA0TJbueIuShhLuff9eLvnXJXxS+gm3HHsLr1z0Chcf\ncfHBNW5Nw4qK+PVUePMeGDoVvvUuXPSEFXnVhjuVqaf/godKy9iwbz3feec7tBgt5Ae8/OnamTgd\nDq586mP2VDfxs9c38n/r/40jpZabxp5gJdZ1NWtvY/hx1iLdhoVcdORppKdk0OxdypVPLmXt3hoe\nenMTk47YRYvZyHmjz4OtiyHSBOMOdcm0cfIRubidDv5Zlg8jT4aPfstV4y7DUAYVrbWEItbMPTN1\n4AYCxJNRuX6OHZ7BwtW1nDz0ZF7d+io/XvpjigJFXDPpmsOe6w4OI8MwKK/rn0SmnszcC4DFIrIG\nWAYsUkq9AtwBfE9EPgeygaeiHUTxvk04lGJX4xBGxMkl054T8ucRdu7ijc12VfQxc60anO8/GlPN\n9701Voz7Dr/lnkoG475f9rcHM/cmmsg0TCtbL0ZMHBJgC8MYGbZ0O9qHQ+5q2MSoVodlUFOzomrf\n4Q0y0xVgUeMuzn5xHq9u+RdX5Mxg4fhvcZ0K4lv3Cqz5+4HXimfh8ZPgnzdY+jlffxmufAkKDnVz\nAHDEGZwyYi4PVtbwccnH3P6f24mYEUbkpPGHa2ZQ3xLhnF+9x+P/2cLY0RtId6czu+RzcKTAUd24\nDJwuGHsGbH6DFCWcN+ZsXP717K2r5PzH3idsmGTnr7G04EPTYcNC8ARhxIldNun3uDh+TDaL1pWi\nTrgV6ooZtv1DTi86HYBQxKDFG4qpWmuyc/HUQjaV1jM58zT2Ne9jZ91O7p55Nx5n1083FfUt7Ixk\nkGsYlNX1T/JkT6Jl1iiljlFKHa2UOkop9UN7+1al1Ayl1Bil1JeVUj0XuOhASe0u8gyDlbWZjIhT\npEx7bpn1ZZRy8OTKv1sbHA4rHrVsHWzuWi+it7QlMO1NC5DqSiXTk9n9SQmmp7K/YSNMsyNi6cq4\nY/cF7U1xEs4ax4iw5Y5pW1RtCDdQZ+xlems9EqVLpo05hafShGJebQ2v7NzJDz5+gYwF34GXrjv0\n9a9bINwIlzwD31wMo2Z338G8n3FOc4Q7HXm8s+sdHvjwAZRSTBgS4Jmrp9McNjnr6EwqzRWcWXQG\nnk9fhCPOgLQePAGNP8uSrd75IeeNPo+ICnP5nCocIsw/NYeVFR9z7qhzcShlLaaOnQvdhN/OnZDP\nzn2NbEqbboVMvv8o10y8GhfCiLADX3p0xc8HK+dMGoLb5WD7zuHkpeZx7qhzOW7IcZ0e29AS4dG3\nNnPKzxdz25sVVqx7Q8+F+XrDgJB1K2ksJRQxWBbJ5msJmLmPzg6RJZPZUP9vmsOteFPccNTF8M6P\n4P1fwhGnx6Sf4upGiqSMve6hFKbmJIXwks9tfQFVNx1egqCqxdLFT8PbZ12ZjmQOO5K0tUKWw7N/\n5r6uch2IYkZzVVSRMu05a/aDnFJxBX5HDxYJRaz48N7kJwSHwql38bU37qL2hKv57ef/JOAOcNu0\n25g2Iotl95zGmzsW8N6HzZzrKYCGMksBsieM/pIlObtxIUee8RPGZIxhY8NiVt73HC9s/iPmbpNz\nR58Luz6GxopOo2Q6ctqR+dz9j89YtL6UcSfcCi9ey5EV23nPM5F9rZ+Sk6X97e0JpqYw98h8XllT\nxtu3/ZN0z6HSKWHD5K8f7+TRtzdTUd/KmDw/u8syGW8YbGrpn5oSA+LZqri1mnzlohkPI+IUBtmR\nc0edB846nlph+95dbjju27Djfdi1LCZ9NFbsxCNh9hBOisVUOCD7W1F7+NlFW/WeNEfs/34Th+ex\n3Qwx3HTsn7mvtDNTrcXU6PztbYjDgT9vAuSM6f6VPbp3hr2NGd+C/Elcv+YNLh97CX9Y9wee/PRJ\nwHKFLNi6gKJAEZO3vA++LMvd0hM8fhh1Cmx4FQHOH30+a8rXUNa8iwVbFlha8MGRsPFVy9UzZm63\nTeYHvEwelsGidaUw4QLry+z9R/HXlVKqsvRiaidcPHUo+xpaWba14aD1GaUUr64pZu7D/+Hel9cy\nKtfPSzcez08unEQZGeRGDCojjYetNBYtCTfupjIpNZrJFMsoJMLnDnDjjHPBSOXFTe3WhY+9CrwZ\n1uw9BjiqtqKAPeE6hqYP/Bh3gLTUPEQpKusOv6Lflp3qd2XEfAxHFwbZpAopamran8i0bO8a0sJu\nskxlVV8a6DhdcO4vkboS7qhp4pxR5/Crlb/ihY0vsLtuNytKV3De8LnIxtdg0iXW5KKnjDsLqndA\n2TrOHnU2DnHw82U/t7TgR59vrRttWAgjTwJvzzIxT5+Qz+rdNZQ2RKzs7V1LoXg1u4zMQREGGWtO\nHptLjt/Di58cWBz9YEsFF/zmfb79/Cd4XE6evnoaf5s/i2OHZ1IQ9BLBRab4MFGHLW0YLQk37vua\n99Eq4FUZcQ+DbE+ax8Mo34mUGSvYXWMru3n8MP062PAqVGzucx+pdTuodDhoMluTZubu8fdM9ndX\njS0a5o5dpEwb40LpbJVhjGmspqqliurmajZWr2N0C7RmjgVPesz77BcKp8G0b+D4+Hf8cNQlnFJ4\nCg9+9CD3fXAfgnBuiwKjBSZf1rt22zRiNiwkNzWX44ccz5I9S3A73Jwx4gyo2AT7thw2SqYjc23J\n7UXrSuGYK6ynCTPCLiNTz9w7weV0cMGUIbyzoYwPPq/YrxBabiuELrzlJOaMP6CBnxew7mGaWF+2\n/ZHIlHDjXmrrGRtGdtzDIDvyjclfRhwR7ln0hwNKgDOvB6cbPvhVn9oOGyZZLbvZkURhkADudEv2\nt6Yb2d/iNl2ZtNjr8Kc4HTQFxzLKjphZVb6KqtZiZrbU4Crsm7897nzpPkjNJuXV2/jFST/jmLxj\nWFayjBmhGRSsexVyx/fezZQegqHTLNcLlmsGsLTgPUFrcgK9Mu5j8/wUZadaxt2dCjO/BUCJykp6\nXZn+4uKphYQNxeVPLmXVrmruOmv8foVQZwe75nE5yfG7cWGtafVHLdWEG/fi8s8AqGrOj4sa5OE4\nb/wM/IxiWc0LzHnkNUsJMDUHjvkarP6rpcMcJSU1zYyQErbahaOTxbi3yf7WdyP7W15fgkspgulD\n+mccQycyImz5JdsUEGe21uIsnNov/fUbvkw44yew9xO8q//CY196jHNGncONI8+D3R9bs/ZoFqTH\nnwV7V0LtXk4dfiqnF51+IM5640LrCyPYc1egiHD6hHw+3FJJfUsEZsynesQ83jeP0jP3LjiyIMDV\nx4/ghtmjefcHpzL/5NEHKYR2JBT00hqx1rQGp3G3xY621OQzMif+YZDtcTgcPHn2T3C6GjCCr+9X\nAlw25HJL7/2j/4267eIaK4FpV5rlk04GXRmwZX9Nk/puZH+rG4rJNAx8GbHRlenIkNFHkRNWpOBg\n8a7FABzZ2trnSJmEMOnLMPIUeOuHpLc08tOTfsqxu1aDOODor0bXZpsQ2MaFeJweHpr9EBOzJ0Jd\nqVUjuBOhsO6YOyFEq2Hyn43lkJrF8hm/YqfK18b9MNx/3kTumDeeYA+SvEIBL1XhHJxK9Uuse8KN\ne0nNDnymyfbWwoTP3AEm5kzksvGX0uh5l9vO9VHTFObLL5Sx1HsixsdPQXN08px7qxooklJKvF7y\nUvMOm+AwkEjPsDXdzcNry9S1VJJpxE40rCOThueySxUwxHTSYrSQ0eohTTkgv3+rUfULInD2w1a2\n6Jt3g2nCmr9ZMfOBKPX9c8dB1ihr4bQ9m16jK6Gw7phalElWmptF66wn1op6K5VFL6jGhlDQy9bm\nINmGQXntzpi3n3DjXtxYSr5hUk5mXHTce8JN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km0Y+LSujEbTZ0IBL/UttnGv6ntFpvga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\nazQazSBEG3eNRqMZhGjjrtFoNIOQ/w+Po2zKGFxA9gAAAABJRU5ErkJggg==\n","text/plain":["<Figure size 432x288 with 1 Axes>"]},"metadata":{"tags":[]}}]},{"cell_type":"code","metadata":{"id":"uTocygEFRqKK","colab_type":"code","colab":{}},"source":[""],"execution_count":0,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"6zstfyP3T_6_","colab_type":"text"},"source":["# (c) auto-correlation"]},{"cell_type":"code","metadata":{"id":"jZ8YgeuWEgto","colab_type":"code","colab":{}},"source":["timer = np.log(time.price).diff().dropna()"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"Q6PwsJwFUHzC","colab_type":"code","colab":{}},"source":["tr = np.log(tb.price).diff().dropna()\n","\n","vr = np.log(vb.price).diff().dropna()\n","\n","dr = np.log(db.price).diff().dropna()"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"NvsRAqSbUH1s","colab_type":"code","outputId":"8e6cf3cc-e1aa-4b19-fb2f-1c662bc176dc","executionInfo":{"status":"ok","timestamp":1562760308882,"user_tz":-540,"elapsed":665,"user":{"displayName":"조정효","photoUrl":"","userId":"12388356131346241220"}},"colab":{"base_uri":"https://localhost:8080/","height":104}},"source":["s = '\\n'\n","print(\"return autocorrelation : \", s,\"time (daily) bar: \",timer.autocorr(),s, \"tick bar: \", tr.autocorr(),s,\"volume bar: \" ,vr.autocorr(),s,\"dollar bar: \" , dr.autocorr())\n","\n"],"execution_count":0,"outputs":[{"output_type":"stream","text":["return autocorrelation :  \n"," time (daily) bar:  0.012616791940503278 \n"," tick bar:  -0.016308807950058655 \n"," volume bar:  0.03420785286314626 \n"," dollar bar:  0.008847900334507434\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"INhyvWgpUH4V","colab_type":"code","colab":{}},"source":[""],"execution_count":0,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"04XLGUcuVn7t","colab_type":"text"},"source":["# (d) volatility X failed\n","- monthly로 안함"]},{"cell_type":"code","metadata":{"id":"o3zIoQwHVptP","colab_type":"code","outputId":"b1b2f181-80e8-45b0-bc3b-18cb742d36c3","executionInfo":{"status":"ok","timestamp":1562760316360,"user_tz":-540,"elapsed":611,"user":{"displayName":"조정효","photoUrl":"","userId":"12388356131346241220"}},"colab":{"base_uri":"https://localhost:8080/","height":87}},"source":["s = '\\n'\n","print(\"standard deviation : \", s, \"tick bar: \", tr.std(),s,\"volume bar: \" ,vr.std(),s,\"dollar bar: \" , dr.std())"],"execution_count":0,"outputs":[{"output_type":"stream","text":["standard deviation :  \n"," tick bar:  0.0032542268145379838 \n"," volume bar:  0.003219250509979423 \n"," dollar bar:  0.003300471622849768\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"tst1PVRuVpvt","colab_type":"code","colab":{}},"source":[""],"execution_count":0,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"YhI5PjegWTXp","colab_type":"text"},"source":["# (e) normality"]},{"cell_type":"code","metadata":{"id":"0z8pe4g4Vpyh","colab_type":"code","colab":{}},"source":["from scipy.stats import jarque_bera"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"yysYeEMFVp05","colab_type":"code","colab":{}},"source":["jtime,ptime = jarque_bera(timer)\n","jt,ptick = jarque_bera(tr)\n","jv,pvolume = jarque_bera(vr)\n","jd,pdollar = jarque_bera(dr)"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"eMYpyD3qW9uD","colab_type":"code","outputId":"51550395-6304-4a30-e283-f3fd67bb4582","executionInfo":{"status":"ok","timestamp":1562760350193,"user_tz":-540,"elapsed":697,"user":{"displayName":"조정효","photoUrl":"","userId":"12388356131346241220"}},"colab":{"base_uri":"https://localhost:8080/","height":52}},"source":["print(jtime,jt,jv,jd)\n","print(ptime, ptick, pvolume, pdollar)"],"execution_count":0,"outputs":[{"output_type":"stream","text":["1306.7836832649127 296.2614583137286 440.5849195231698 332.9022801952187\n","0.0 0.0 0.0 0.0\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"WBqQsGRxWxgu","colab_type":"code","outputId":"ce7e7dba-097f-4e26-afae-cf2ea9ca8428","executionInfo":{"status":"ok","timestamp":1562760353000,"user_tz":-540,"elapsed":736,"user":{"displayName":"조정효","photoUrl":"","userId":"12388356131346241220"}},"colab":{"base_uri":"https://localhost:8080/","height":104}},"source":["s = '\\n'\n","print(\"jarque bera statistics : \", s,\"time bar: \",jtime,s, \"tick bar: \", jt,s,\"volume bar: \" ,jv,s,\"dollar bar: \" , jd)"],"execution_count":0,"outputs":[{"output_type":"stream","text":["jarque bera statistics :  \n"," time bar:  1306.7836832649127 \n"," tick bar:  296.2614583137286 \n"," volume bar:  440.5849195231698 \n"," dollar bar:  332.9022801952187\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"_qw3kUWkWmSI","colab_type":"code","colab":{}},"source":[""],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"4s9trGD8WmUb","colab_type":"code","colab":{}},"source":[""],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"eP3V9DPDWmWZ","colab_type":"code","colab":{}},"source":[""],"execution_count":0,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"S945wEODXbJH","colab_type":"text"},"source":["# 2.2. Dollar Imbalance bar vs. Dollar bar\n","- serial correlation"]},{"cell_type":"code","metadata":{"id":"aThil5fyJTD8","colab_type":"code","colab":{}},"source":["!pip install -q mlfinlab"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"LwvgsiC7JW9P","colab_type":"code","colab":{}},"source":["import mlfinlab as ml"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"PDRzxIsmJaoJ","colab_type":"code","colab":{}},"source":["from mlfinlab import data_structures"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"EsrDeF-rJp3V","colab_type":"code","outputId":"d919336d-20b8-4fb1-b524-063af0c12fee","executionInfo":{"status":"ok","timestamp":1562758311505,"user_tz":-540,"elapsed":751,"user":{"displayName":"조정효","photoUrl":"","userId":"12388356131346241220"}},"colab":{"base_uri":"https://localhost:8080/","height":1000}},"source":["ddd = data.drop(columns=['buy','sell','dollar'])\n","ddd.tail()\n","ddd2=ddd.iloc[-5000:]\n","ddd2.to_csv('/content/drive/My Drive/Colab Notebooks/csv/'+'test3.csv')\n","ddd2"],"execution_count":0,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>price</th>\n","      <th>volume</th>\n","    </tr>\n","    <tr>\n","      <th>date_time</th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>2019-07-02 13:15:00</th>\n","      <td>277.149994</td>\n","      <td>2.0</td>\n","    </tr>\n","    <tr>\n","      <th>2019-07-02 13:15:00</th>\n","      <td>277.149994</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>2019-07-02 13:15:00</th>\n","      <td>277.149994</td>\n","      <td>60.0</td>\n","    </tr>\n","    <tr>\n","      <th>2019-07-02 13:15:00</th>\n","      <td>277.149994</td>\n","      <td>26.0</td>\n","    </tr>\n","    <tr>\n","      <th>2019-07-02 13:15:00</th>\n","      <td>277.149994</td>\n","      <td>2.0</td>\n","    </tr>\n","    <tr>\n","      <th>2019-07-02 13:15:00</th>\n","      <td>277.149994</td>\n","      <td>2.0</td>\n","    </tr>\n","    <tr>\n","      <th>2019-07-02 13:15:00</th>\n","      <td>277.149994</td>\n","      <td>2.0</td>\n","    </tr>\n","    <tr>\n","      <th>2019-07-02 13:15:00</th>\n","      <td>277.149994</td>\n","      <td>8.0</td>\n","    </tr>\n","    <tr>\n","      <th>2019-07-02 13:15:00</th>\n","      <td>277.149994</td>\n","      <td>12.0</td>\n","    </tr>\n","    <tr>\n","      <th>2019-07-02 13:15:00</th>\n","      <td>277.149994</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>2019-07-02 13:15:00</th>\n","      <td>277.149994</td>\n","      <td>2.0</td>\n","    </tr>\n","    <tr>\n","      <th>2019-07-02 13:15:00</th>\n","      <td>277.149994</td>\n","      <td>8.0</td>\n","    </tr>\n","    <tr>\n","      <th>2019-07-02 13:15:00</th>\n","      <td>277.149994</td>\n","      <td>2.0</td>\n","    </tr>\n","    <tr>\n","      <th>2019-07-02 13:15:00</th>\n","      <td>277.149994</td>\n","      <td>3.0</td>\n","    </tr>\n","    <tr>\n","      <th>2019-07-02 13:15:00</th>\n","      <td>277.149994</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>2019-07-02 13:15:00</th>\n","      <td>277.149994</td>\n","      <td>2.0</td>\n","    </tr>\n","    <tr>\n","      <th>2019-07-02 13:16:00</th>\n","      <td>277.149994</td>\n","      <td>23.0</td>\n","    </tr>\n","    <tr>\n","      <th>2019-07-02 13:16:00</th>\n","      <td>277.149994</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>2019-07-02 13:16:00</th>\n","      <td>277.149994</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>2019-07-02 13:16:00</th>\n","      <td>277.149994</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>2019-07-02 13:16:00</th>\n","      <td>277.149994</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>2019-07-02 13:16:00</th>\n","      <td>277.200012</td>\n","      <td>3.0</td>\n","    </tr>\n","    <tr>\n","      <th>2019-07-02 13:16:00</th>\n","      <td>277.200012</td>\n","      <td>15.0</td>\n","    </tr>\n","    <tr>\n","      <th>2019-07-02 13:16:00</th>\n","      <td>277.200012</td>\n","      <td>58.0</td>\n","    </tr>\n","    <tr>\n","      <th>2019-07-02 13:16:00</th>\n","      <td>277.200012</td>\n","      <td>3.0</td>\n","    </tr>\n","    <tr>\n","      <th>2019-07-02 13:16:00</th>\n","      <td>277.200012</td>\n","      <td>5.0</td>\n","    </tr>\n","    <tr>\n","      <th>2019-07-02 13:16:00</th>\n","      <td>277.200012</td>\n","      <td>6.0</td>\n","    </tr>\n","    <tr>\n","      <th>2019-07-02 13:16:00</th>\n","      <td>277.200012</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>2019-07-02 13:17:00</th>\n","      <td>277.200012</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>2019-07-02 13:17:00</th>\n","      <td>277.200012</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>2019-07-02 15:34:00</th>\n","      <td>276.750000</td>\n","      <td>7.0</td>\n","    </tr>\n","    <tr>\n","      <th>2019-07-02 15:34:00</th>\n","      <td>276.750000</td>\n","      <td>2.0</td>\n","    </tr>\n","    <tr>\n","      <th>2019-07-02 15:34:00</th>\n","      <td>276.799988</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>2019-07-02 15:34:00</th>\n","      <td>276.799988</td>\n","      <td>5.0</td>\n","    </tr>\n","    <tr>\n","      <th>2019-07-02 15:34:00</th>\n","      <td>276.799988</td>\n","      <td>6.0</td>\n","    </tr>\n","    <tr>\n","      <th>2019-07-02 15:34:00</th>\n","      <td>276.799988</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>2019-07-02 15:34:00</th>\n","      <td>276.799988</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>2019-07-02 15:34:00</th>\n","      <td>276.750000</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>2019-07-02 15:34:00</th>\n","      <td>276.799988</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>2019-07-02 15:34:00</th>\n","      <td>276.799988</td>\n","      <td>5.0</td>\n","    </tr>\n","    <tr>\n","      <th>2019-07-02 15:34:00</th>\n","      <td>276.799988</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>2019-07-02 15:34:00</th>\n","      <td>276.750000</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>2019-07-02 15:34:00</th>\n","      <td>276.799988</td>\n","      <td>3.0</td>\n","    </tr>\n","    <tr>\n","      <th>2019-07-02 15:34:00</th>\n","      <td>276.799988</td>\n","      <td>10.0</td>\n","    </tr>\n","    <tr>\n","      <th>2019-07-02 15:34:00</th>\n","      <td>276.799988</td>\n","      <td>2.0</td>\n","    </tr>\n","    <tr>\n","      <th>2019-07-02 15:34:00</th>\n","      <td>276.799988</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>2019-07-02 15:34:00</th>\n","      <td>276.799988</td>\n","      <td>2.0</td>\n","    </tr>\n","    <tr>\n","      <th>2019-07-02 15:34:00</th>\n","      <td>276.799988</td>\n","      <td>2.0</td>\n","    </tr>\n","    <tr>\n","      <th>2019-07-02 15:34:00</th>\n","      <td>276.799988</td>\n","      <td>81.0</td>\n","    </tr>\n","    <tr>\n","      <th>2019-07-02 15:34:00</th>\n","      <td>276.850006</td>\n","      <td>11.0</td>\n","    </tr>\n","    <tr>\n","      <th>2019-07-02 15:34:00</th>\n","      <td>276.799988</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>2019-07-02 15:34:00</th>\n","      <td>276.799988</td>\n","      <td>2.0</td>\n","    </tr>\n","    <tr>\n","      <th>2019-07-02 15:34:00</th>\n","      <td>276.799988</td>\n","      <td>2.0</td>\n","    </tr>\n","    <tr>\n","      <th>2019-07-02 15:34:00</th>\n","      <td>276.850006</td>\n","      <td>35.0</td>\n","    </tr>\n","    <tr>\n","      <th>2019-07-02 15:34:00</th>\n","      <td>276.799988</td>\n","      <td>2.0</td>\n","    </tr>\n","    <tr>\n","      <th>2019-07-02 15:34:00</th>\n","      <td>276.850006</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>2019-07-02 15:34:00</th>\n","      <td>276.799988</td>\n","      <td>3.0</td>\n","    </tr>\n","    <tr>\n","      <th>2019-07-02 15:34:00</th>\n","      <td>276.850006</td>\n","      <td>2.0</td>\n","    </tr>\n","    <tr>\n","      <th>2019-07-02 15:34:00</th>\n","      <td>276.850006</td>\n","      <td>2.0</td>\n","    </tr>\n","    <tr>\n","      <th>2019-07-02 15:34:00</th>\n","      <td>276.850006</td>\n","      <td>5.0</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>5000 rows × 2 columns</p>\n","</div>"],"text/plain":["                          price  volume\n","date_time                              \n","2019-07-02 13:15:00  277.149994     2.0\n","2019-07-02 13:15:00  277.149994     1.0\n","2019-07-02 13:15:00  277.149994    60.0\n","2019-07-02 13:15:00  277.149994    26.0\n","2019-07-02 13:15:00  277.149994     2.0\n","2019-07-02 13:15:00  277.149994     2.0\n","2019-07-02 13:15:00  277.149994     2.0\n","2019-07-02 13:15:00  277.149994     8.0\n","2019-07-02 13:15:00  277.149994    12.0\n","2019-07-02 13:15:00  277.149994     1.0\n","2019-07-02 13:15:00  277.149994     2.0\n","2019-07-02 13:15:00  277.149994     8.0\n","2019-07-02 13:15:00  277.149994     2.0\n","2019-07-02 13:15:00  277.149994     3.0\n","2019-07-02 13:15:00  277.149994     1.0\n","2019-07-02 13:15:00  277.149994     2.0\n","2019-07-02 13:16:00  277.149994    23.0\n","2019-07-02 13:16:00  277.149994     1.0\n","2019-07-02 13:16:00  277.149994     1.0\n","2019-07-02 13:16:00  277.149994     1.0\n","2019-07-02 13:16:00  277.149994     1.0\n","2019-07-02 13:16:00  277.200012     3.0\n","2019-07-02 13:16:00  277.200012    15.0\n","2019-07-02 13:16:00  277.200012    58.0\n","2019-07-02 13:16:00  277.200012     3.0\n","2019-07-02 13:16:00  277.200012     5.0\n","2019-07-02 13:16:00  277.200012     6.0\n","2019-07-02 13:16:00  277.200012     1.0\n","2019-07-02 13:17:00  277.200012     1.0\n","2019-07-02 13:17:00  277.200012     1.0\n","...                         ...     ...\n","2019-07-02 15:34:00  276.750000     7.0\n","2019-07-02 15:34:00  276.750000     2.0\n","2019-07-02 15:34:00  276.799988     1.0\n","2019-07-02 15:34:00  276.799988     5.0\n","2019-07-02 15:34:00  276.799988     6.0\n","2019-07-02 15:34:00  276.799988     1.0\n","2019-07-02 15:34:00  276.799988     1.0\n","2019-07-02 15:34:00  276.750000     1.0\n","2019-07-02 15:34:00  276.799988     1.0\n","2019-07-02 15:34:00  276.799988     5.0\n","2019-07-02 15:34:00  276.799988     1.0\n","2019-07-02 15:34:00  276.750000     1.0\n","2019-07-02 15:34:00  276.799988     3.0\n","2019-07-02 15:34:00  276.799988    10.0\n","2019-07-02 15:34:00  276.799988     2.0\n","2019-07-02 15:34:00  276.799988     1.0\n","2019-07-02 15:34:00  276.799988     2.0\n","2019-07-02 15:34:00  276.799988     2.0\n","2019-07-02 15:34:00  276.799988    81.0\n","2019-07-02 15:34:00  276.850006    11.0\n","2019-07-02 15:34:00  276.799988     1.0\n","2019-07-02 15:34:00  276.799988     2.0\n","2019-07-02 15:34:00  276.799988     2.0\n","2019-07-02 15:34:00  276.850006    35.0\n","2019-07-02 15:34:00  276.799988     2.0\n","2019-07-02 15:34:00  276.850006     1.0\n","2019-07-02 15:34:00  276.799988     3.0\n","2019-07-02 15:34:00  276.850006     2.0\n","2019-07-02 15:34:00  276.850006     2.0\n","2019-07-02 15:34:00  276.850006     5.0\n","\n","[5000 rows x 2 columns]"]},"metadata":{"tags":[]},"execution_count":317}]},{"cell_type":"code","metadata":{"id":"jxHFGbXhJ3fZ","colab_type":"code","outputId":"59689287-2042-4429-8714-0ca3883f550c","executionInfo":{"status":"ok","timestamp":1562758908656,"user_tz":-540,"elapsed":89940,"user":{"displayName":"조정효","photoUrl":"","userId":"12388356131346241220"}},"colab":{"base_uri":"https://localhost:8080/","height":87}},"source":["#tib = data_structures.get_tick_imbalance_bars('/content/drive/My Drive/Colab Notebooks/csv/test2.csv',3)\n","#vib = data_structures.get_volume_imbalance_bars('/content/drive/My Drive/Colab Notebooks/csv/test2.csv',3)\n","dib = data_structures.get_dollar_imbalance_bars('/content/drive/My Drive/Colab Notebooks/csv/test2.csv',20)"],"execution_count":0,"outputs":[{"output_type":"stream","text":["Reading data in batches:\n","Batch number: 0\n","Returning bars \n","\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"wqSHkvesbnyf","colab_type":"code","outputId":"4c5ac728-c514-4414-a487-d06040600ece","executionInfo":{"status":"ok","timestamp":1562758908667,"user_tz":-540,"elapsed":88802,"user":{"displayName":"조정효","photoUrl":"","userId":"12388356131346241220"}},"colab":{"base_uri":"https://localhost:8080/","height":1000}},"source":["dib"],"execution_count":0,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>date_time</th>\n","      <th>open</th>\n","      <th>high</th>\n","      <th>low</th>\n","      <th>close</th>\n","      <th>volume</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>2018-11-26 10:08:00</td>\n","      <td>266.200012</td>\n","      <td>269.399994</td>\n","      <td>265.250000</td>\n","      <td>269.100006</td>\n","      <td>631846.0</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>2018-11-27 12:26:00</td>\n","      <td>269.100006</td>\n","      <td>272.000000</td>\n","      <td>268.450012</td>\n","      <td>272.000000</td>\n","      <td>245143.0</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>2018-11-28 14:04:00</td>\n","      <td>272.000000</td>\n","      <td>273.549988</td>\n","      <td>271.700012</td>\n","      <td>273.549988</td>\n","      <td>185991.0</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>2018-11-29 14:23:00</td>\n","      <td>273.549988</td>\n","      <td>278.000000</td>\n","      <td>273.200012</td>\n","      <td>274.299988</td>\n","      <td>222434.0</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>2018-11-29 14:25:00</td>\n","      <td>274.299988</td>\n","      <td>274.450012</td>\n","      <td>274.250000</td>\n","      <td>274.250000</td>\n","      <td>1687.0</td>\n","    </tr>\n","    <tr>\n","      <th>5</th>\n","      <td>2018-11-29 14:25:00</td>\n","      <td>274.250000</td>\n","      <td>274.250000</td>\n","      <td>274.200012</td>\n","      <td>274.200012</td>\n","      <td>417.0</td>\n","    </tr>\n","    <tr>\n","      <th>6</th>\n","      <td>2018-11-29 14:25:00</td>\n","      <td>274.200012</td>\n","      <td>274.200012</td>\n","      <td>274.049988</td>\n","      <td>274.049988</td>\n","      <td>922.0</td>\n","    </tr>\n","    <tr>\n","      <th>7</th>\n","      <td>2018-11-29 14:26:00</td>\n","      <td>274.049988</td>\n","      <td>274.250000</td>\n","      <td>274.000000</td>\n","      <td>274.250000</td>\n","      <td>918.0</td>\n","    </tr>\n","    <tr>\n","      <th>8</th>\n","      <td>2018-11-29 14:27:00</td>\n","      <td>274.250000</td>\n","      <td>274.299988</td>\n","      <td>274.100006</td>\n","      <td>274.100006</td>\n","      <td>1476.0</td>\n","    </tr>\n","    <tr>\n","      <th>9</th>\n","      <td>2018-11-29 14:27:00</td>\n","      <td>274.100006</td>\n","      <td>274.149994</td>\n","      <td>274.049988</td>\n","      <td>274.049988</td>\n","      <td>549.0</td>\n","    </tr>\n","    <tr>\n","      <th>10</th>\n","      <td>2018-11-29 14:28:00</td>\n","      <td>274.049988</td>\n","      <td>274.149994</td>\n","      <td>274.000000</td>\n","      <td>274.000000</td>\n","      <td>870.0</td>\n","    </tr>\n","    <tr>\n","      <th>11</th>\n","      <td>2018-11-29 14:32:00</td>\n","      <td>274.000000</td>\n","      <td>274.200012</td>\n","      <td>273.950012</td>\n","      <td>274.049988</td>\n","      <td>1921.0</td>\n","    </tr>\n","    <tr>\n","      <th>12</th>\n","      <td>2018-11-29 14:32:00</td>\n","      <td>274.049988</td>\n","      <td>274.049988</td>\n","      <td>274.000000</td>\n","      <td>274.000000</td>\n","      <td>307.0</td>\n","    </tr>\n","    <tr>\n","      <th>13</th>\n","      <td>2018-11-29 14:33:00</td>\n","      <td>274.000000</td>\n","      <td>274.000000</td>\n","      <td>273.950012</td>\n","      <td>273.950012</td>\n","      <td>367.0</td>\n","    </tr>\n","    <tr>\n","      <th>14</th>\n","      <td>2018-11-29 14:33:00</td>\n","      <td>273.950012</td>\n","      <td>274.049988</td>\n","      <td>273.950012</td>\n","      <td>274.000000</td>\n","      <td>650.0</td>\n","    </tr>\n","    <tr>\n","      <th>15</th>\n","      <td>2018-11-29 14:34:00</td>\n","      <td>274.000000</td>\n","      <td>274.200012</td>\n","      <td>273.950012</td>\n","      <td>274.200012</td>\n","      <td>874.0</td>\n","    </tr>\n","    <tr>\n","      <th>16</th>\n","      <td>2018-11-29 14:34:00</td>\n","      <td>274.200012</td>\n","      <td>274.200012</td>\n","      <td>274.200012</td>\n","      <td>274.200012</td>\n","      <td>199.0</td>\n","    </tr>\n","    <tr>\n","      <th>17</th>\n","      <td>2018-11-29 14:36:00</td>\n","      <td>274.200012</td>\n","      <td>274.200012</td>\n","      <td>274.100006</td>\n","      <td>274.200012</td>\n","      <td>549.0</td>\n","    </tr>\n","    <tr>\n","      <th>18</th>\n","      <td>2018-11-29 14:38:00</td>\n","      <td>274.200012</td>\n","      <td>274.200012</td>\n","      <td>274.000000</td>\n","      <td>274.000000</td>\n","      <td>973.0</td>\n","    </tr>\n","    <tr>\n","      <th>19</th>\n","      <td>2018-11-29 14:40:00</td>\n","      <td>274.000000</td>\n","      <td>274.149994</td>\n","      <td>273.899994</td>\n","      <td>273.899994</td>\n","      <td>1338.0</td>\n","    </tr>\n","    <tr>\n","      <th>20</th>\n","      <td>2018-11-29 14:46:00</td>\n","      <td>273.899994</td>\n","      <td>274.100006</td>\n","      <td>273.750000</td>\n","      <td>273.799988</td>\n","      <td>2455.0</td>\n","    </tr>\n","    <tr>\n","      <th>21</th>\n","      <td>2018-11-29 14:48:00</td>\n","      <td>273.799988</td>\n","      <td>274.000000</td>\n","      <td>273.750000</td>\n","      <td>274.000000</td>\n","      <td>1450.0</td>\n","    </tr>\n","    <tr>\n","      <th>22</th>\n","      <td>2018-11-29 14:54:00</td>\n","      <td>274.000000</td>\n","      <td>274.250000</td>\n","      <td>273.950012</td>\n","      <td>274.200012</td>\n","      <td>3215.0</td>\n","    </tr>\n","    <tr>\n","      <th>23</th>\n","      <td>2018-11-29 14:55:00</td>\n","      <td>274.200012</td>\n","      <td>274.250000</td>\n","      <td>273.950012</td>\n","      <td>273.950012</td>\n","      <td>904.0</td>\n","    </tr>\n","    <tr>\n","      <th>24</th>\n","      <td>2018-11-29 14:55:00</td>\n","      <td>273.950012</td>\n","      <td>273.950012</td>\n","      <td>273.950012</td>\n","      <td>273.950012</td>\n","      <td>120.0</td>\n","    </tr>\n","    <tr>\n","      <th>25</th>\n","      <td>2018-11-29 14:55:00</td>\n","      <td>273.950012</td>\n","      <td>274.000000</td>\n","      <td>273.899994</td>\n","      <td>273.950012</td>\n","      <td>239.0</td>\n","    </tr>\n","    <tr>\n","      <th>26</th>\n","      <td>2018-11-29 14:55:00</td>\n","      <td>273.950012</td>\n","      <td>273.950012</td>\n","      <td>273.950012</td>\n","      <td>273.950012</td>\n","      <td>76.0</td>\n","    </tr>\n","    <tr>\n","      <th>27</th>\n","      <td>2018-11-29 14:55:00</td>\n","      <td>273.950012</td>\n","      <td>273.950012</td>\n","      <td>273.899994</td>\n","      <td>273.899994</td>\n","      <td>101.0</td>\n","    </tr>\n","    <tr>\n","      <th>28</th>\n","      <td>2018-11-29 14:55:00</td>\n","      <td>273.899994</td>\n","      <td>273.899994</td>\n","      <td>273.899994</td>\n","      <td>273.899994</td>\n","      <td>41.0</td>\n","    </tr>\n","    <tr>\n","      <th>29</th>\n","      <td>2018-11-29 14:55:00</td>\n","      <td>273.899994</td>\n","      <td>273.899994</td>\n","      <td>273.850006</td>\n","      <td>273.850006</td>\n","      <td>12.0</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>1457243</th>\n","      <td>2019-07-02 15:34:00</td>\n","      <td>276.700012</td>\n","      <td>276.700012</td>\n","      <td>276.700012</td>\n","      <td>276.700012</td>\n","      <td>6.0</td>\n","    </tr>\n","    <tr>\n","      <th>1457244</th>\n","      <td>2019-07-02 15:34:00</td>\n","      <td>276.700012</td>\n","      <td>276.750000</td>\n","      <td>276.700012</td>\n","      <td>276.700012</td>\n","      <td>6.0</td>\n","    </tr>\n","    <tr>\n","      <th>1457245</th>\n","      <td>2019-07-02 15:34:00</td>\n","      <td>276.700012</td>\n","      <td>276.750000</td>\n","      <td>276.700012</td>\n","      <td>276.750000</td>\n","      <td>40.0</td>\n","    </tr>\n","    <tr>\n","      <th>1457246</th>\n","      <td>2019-07-02 15:34:00</td>\n","      <td>276.750000</td>\n","      <td>276.750000</td>\n","      <td>276.700012</td>\n","      <td>276.700012</td>\n","      <td>14.0</td>\n","    </tr>\n","    <tr>\n","      <th>1457247</th>\n","      <td>2019-07-02 15:34:00</td>\n","      <td>276.700012</td>\n","      <td>276.750000</td>\n","      <td>276.700012</td>\n","      <td>276.750000</td>\n","      <td>107.0</td>\n","    </tr>\n","    <tr>\n","      <th>1457248</th>\n","      <td>2019-07-02 15:34:00</td>\n","      <td>276.750000</td>\n","      <td>276.799988</td>\n","      <td>276.750000</td>\n","      <td>276.799988</td>\n","      <td>21.0</td>\n","    </tr>\n","    <tr>\n","      <th>1457249</th>\n","      <td>2019-07-02 15:34:00</td>\n","      <td>276.799988</td>\n","      <td>276.799988</td>\n","      <td>276.750000</td>\n","      <td>276.750000</td>\n","      <td>65.0</td>\n","    </tr>\n","    <tr>\n","      <th>1457250</th>\n","      <td>2019-07-02 15:34:00</td>\n","      <td>276.750000</td>\n","      <td>276.799988</td>\n","      <td>276.750000</td>\n","      <td>276.750000</td>\n","      <td>19.0</td>\n","    </tr>\n","    <tr>\n","      <th>1457251</th>\n","      <td>2019-07-02 15:34:00</td>\n","      <td>276.750000</td>\n","      <td>276.799988</td>\n","      <td>276.750000</td>\n","      <td>276.750000</td>\n","      <td>76.0</td>\n","    </tr>\n","    <tr>\n","      <th>1457252</th>\n","      <td>2019-07-02 15:34:00</td>\n","      <td>276.750000</td>\n","      <td>276.750000</td>\n","      <td>276.700012</td>\n","      <td>276.700012</td>\n","      <td>3.0</td>\n","    </tr>\n","    <tr>\n","      <th>1457253</th>\n","      <td>2019-07-02 15:34:00</td>\n","      <td>276.700012</td>\n","      <td>276.799988</td>\n","      <td>276.700012</td>\n","      <td>276.799988</td>\n","      <td>4.0</td>\n","    </tr>\n","    <tr>\n","      <th>1457254</th>\n","      <td>2019-07-02 15:34:00</td>\n","      <td>276.799988</td>\n","      <td>276.799988</td>\n","      <td>276.750000</td>\n","      <td>276.799988</td>\n","      <td>5.0</td>\n","    </tr>\n","    <tr>\n","      <th>1457255</th>\n","      <td>2019-07-02 15:34:00</td>\n","      <td>276.799988</td>\n","      <td>276.799988</td>\n","      <td>276.799988</td>\n","      <td>276.799988</td>\n","      <td>3.0</td>\n","    </tr>\n","    <tr>\n","      <th>1457256</th>\n","      <td>2019-07-02 15:34:00</td>\n","      <td>276.799988</td>\n","      <td>276.799988</td>\n","      <td>276.700012</td>\n","      <td>276.750000</td>\n","      <td>5.0</td>\n","    </tr>\n","    <tr>\n","      <th>1457257</th>\n","      <td>2019-07-02 15:34:00</td>\n","      <td>276.750000</td>\n","      <td>276.799988</td>\n","      <td>276.750000</td>\n","      <td>276.799988</td>\n","      <td>4.0</td>\n","    </tr>\n","    <tr>\n","      <th>1457258</th>\n","      <td>2019-07-02 15:34:00</td>\n","      <td>276.799988</td>\n","      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   <td>276.750000</td>\n","      <td>3.0</td>\n","    </tr>\n","    <tr>\n","      <th>1457263</th>\n","      <td>2019-07-02 15:34:00</td>\n","      <td>276.750000</td>\n","      <td>276.799988</td>\n","      <td>276.750000</td>\n","      <td>276.750000</td>\n","      <td>16.0</td>\n","    </tr>\n","    <tr>\n","      <th>1457264</th>\n","      <td>2019-07-02 15:34:00</td>\n","      <td>276.750000</td>\n","      <td>276.799988</td>\n","      <td>276.750000</td>\n","      <td>276.799988</td>\n","      <td>8.0</td>\n","    </tr>\n","    <tr>\n","      <th>1457265</th>\n","      <td>2019-07-02 15:34:00</td>\n","      <td>276.799988</td>\n","      <td>276.799988</td>\n","      <td>276.799988</td>\n","      <td>276.799988</td>\n","      <td>6.0</td>\n","    </tr>\n","    <tr>\n","      <th>1457266</th>\n","      <td>2019-07-02 15:34:00</td>\n","      <td>276.799988</td>\n","      <td>276.799988</td>\n","      <td>276.750000</td>\n","      <td>276.799988</td>\n","      <td>9.0</td>\n","    </tr>\n","    <tr>\n","      <th>1457267</th>\n","      <td>2019-07-02 15:34:00</td>\n","      <td>276.799988</td>\n","      <td>276.799988</td>\n","      <td>276.750000</td>\n","      <td>276.799988</td>\n","      <td>5.0</td>\n","    </tr>\n","    <tr>\n","      <th>1457268</th>\n","      <td>2019-07-02 15:34:00</td>\n","      <td>276.799988</td>\n","      <td>276.799988</td>\n","      <td>276.799988</td>\n","      <td>276.799988</td>\n","      <td>10.0</td>\n","    </tr>\n","    <tr>\n","      <th>1457269</th>\n","      <td>2019-07-02 15:34:00</td>\n","      <td>276.799988</td>\n","      <td>276.799988</td>\n","      <td>276.799988</td>\n","      <td>276.799988</td>\n","      <td>2.0</td>\n","    </tr>\n","    <tr>\n","      <th>1457270</th>\n","      <td>2019-07-02 15:34:00</td>\n","      <td>276.799988</td>\n","      <td>276.799988</td>\n","      <td>276.799988</td>\n","      <td>276.799988</td>\n","      <td>3.0</td>\n","    </tr>\n","    <tr>\n","      <th>1457271</th>\n","      <td>2019-07-02 15:34:00</td>\n","      <td>276.799988</td>\n","      <td>276.799988</td>\n","      <td>276.799988</td>\n","      <td>276.799988</td>\n","      <td>83.0</td>\n","    </tr>\n","    <tr>\n","      <th>1457272</th>\n","      <td>2019-07-02 15:34:00</td>\n","      <td>276.799988</td>\n","      <td>276.850006</td>\n","      <td>276.799988</td>\n","      <td>276.850006</td>\n","      <td>51.0</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>1457273 rows × 6 columns</p>\n","</div>"],"text/plain":["                   date_time        open  ...       close    volume\n","0        2018-11-26 10:08:00  266.200012  ...  269.100006  631846.0\n","1        2018-11-27 12:26:00  269.100006  ...  272.000000  245143.0\n","2        2018-11-28 14:04:00  272.000000  ...  273.549988  185991.0\n","3        2018-11-29 14:23:00  273.549988  ...  274.299988  222434.0\n","4        2018-11-29 14:25:00  274.299988  ...  274.250000    1687.0\n","5        2018-11-29 14:25:00  274.250000  ...  274.200012     417.0\n","6        2018-11-29 14:25:00  274.200012  ...  274.049988     922.0\n","7        2018-11-29 14:26:00  274.049988  ...  274.250000     918.0\n","8        2018-11-29 14:27:00  274.250000  ...  274.100006    1476.0\n","9        2018-11-29 14:27:00  274.100006  ...  274.049988     549.0\n","10       2018-11-29 14:28:00  274.049988  ...  274.000000     870.0\n","11       2018-11-29 14:32:00  274.000000  ...  274.049988    1921.0\n","12       2018-11-29 14:32:00  274.049988  ...  274.000000     307.0\n","13       2018-11-29 14:33:00  274.000000  ...  273.950012     367.0\n","14       2018-11-29 14:33:00  273.950012  ...  274.000000     650.0\n","15       2018-11-29 14:34:00  274.000000  ...  274.200012     874.0\n","16       2018-11-29 14:34:00  274.200012  ...  274.200012     199.0\n","17       2018-11-29 14:36:00  274.200012  ...  274.200012     549.0\n","18       2018-11-29 14:38:00  274.200012  ...  274.000000     973.0\n","19       2018-11-29 14:40:00  274.000000  ...  273.899994    1338.0\n","20       2018-11-29 14:46:00  273.899994  ...  273.799988    2455.0\n","21       2018-11-29 14:48:00  273.799988  ...  274.000000    1450.0\n","22       2018-11-29 14:54:00  274.000000  ...  274.200012    3215.0\n","23       2018-11-29 14:55:00  274.200012  ...  273.950012     904.0\n","24       2018-11-29 14:55:00  273.950012  ...  273.950012     120.0\n","25       2018-11-29 14:55:00  273.950012  ...  273.950012     239.0\n","26       2018-11-29 14:55:00  273.950012  ...  273.950012      76.0\n","27       2018-11-29 14:55:00  273.950012  ...  273.899994     101.0\n","28       2018-11-29 14:55:00  273.899994  ...  273.899994      41.0\n","29       2018-11-29 14:55:00  273.899994  ...  273.850006      12.0\n","...                      ...         ...  ...         ...       ...\n","1457243  2019-07-02 15:34:00  276.700012  ...  276.700012       6.0\n","1457244  2019-07-02 15:34:00  276.700012  ...  276.700012       6.0\n","1457245  2019-07-02 15:34:00  276.700012  ...  276.750000      40.0\n","1457246  2019-07-02 15:34:00  276.750000  ...  276.700012      14.0\n","1457247  2019-07-02 15:34:00  276.700012  ...  276.750000     107.0\n","1457248  2019-07-02 15:34:00  276.750000  ...  276.799988      21.0\n","1457249  2019-07-02 15:34:00  276.799988  ...  276.750000      65.0\n","1457250  2019-07-02 15:34:00  276.750000  ...  276.750000      19.0\n","1457251  2019-07-02 15:34:00  276.750000  ...  276.750000      76.0\n","1457252  2019-07-02 15:34:00  276.750000  ...  276.700012       3.0\n","1457253  2019-07-02 15:34:00  276.700012  ...  276.799988       4.0\n","1457254  2019-07-02 15:34:00  276.799988  ...  276.799988       5.0\n","1457255  2019-07-02 15:34:00  276.799988  ...  276.799988       3.0\n","1457256  2019-07-02 15:34:00  276.799988  ...  276.750000       5.0\n","1457257  2019-07-02 15:34:00  276.750000  ...  276.799988       4.0\n","1457258  2019-07-02 15:34:00  276.799988  ...  276.700012       2.0\n","1457259  2019-07-02 15:34:00  276.700012  ...  276.700012       3.0\n","1457260  2019-07-02 15:34:00  276.700012  ...  276.799988       4.0\n","1457261  2019-07-02 15:34:00  276.799988  ...  276.799988       6.0\n","1457262  2019-07-02 15:34:00  276.799988  ...  276.750000       3.0\n","1457263  2019-07-02 15:34:00  276.750000  ...  276.750000      16.0\n","1457264  2019-07-02 15:34:00  276.750000  ...  276.799988       8.0\n","1457265  2019-07-02 15:34:00  276.799988  ...  276.799988       6.0\n","1457266  2019-07-02 15:34:00  276.799988  ...  276.799988       9.0\n","1457267  2019-07-02 15:34:00  276.799988  ...  276.799988       5.0\n","1457268  2019-07-02 15:34:00  276.799988  ...  276.799988      10.0\n","1457269  2019-07-02 15:34:00  276.799988  ...  276.799988       2.0\n","1457270  2019-07-02 15:34:00  276.799988  ...  276.799988       3.0\n","1457271  2019-07-02 15:34:00  276.799988  ...  276.799988      83.0\n","1457272  2019-07-02 15:34:00  276.799988  ...  276.850006      51.0\n","\n","[1457273 rows x 6 columns]"]},"metadata":{"tags":[]},"execution_count":321}]},{"cell_type":"code","metadata":{"id":"N-OZojJHNK6b","colab_type":"code","colab":{}},"source":["dib2 = dib.set_index(pd.to_datetime(dib.date_time))\n","dib2 = dib2.drop(columns='date_time')\n","dib3 = dib2.close"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"2RhQekDPZ-FH","colab_type":"code","outputId":"0a8e73d4-ca97-4658-9d12-2f2a21f1de2f","executionInfo":{"status":"ok","timestamp":1562760391354,"user_tz":-540,"elapsed":529,"user":{"displayName":"조정효","photoUrl":"","userId":"12388356131346241220"}},"colab":{"base_uri":"https://localhost:8080/","height":139}},"source":["dib3.tail()"],"execution_count":0,"outputs":[{"output_type":"execute_result","data":{"text/plain":["date_time\n","2019-07-02 15:34:00    276.799988\n","2019-07-02 15:34:00    276.799988\n","2019-07-02 15:34:00    276.799988\n","2019-07-02 15:34:00    276.799988\n","2019-07-02 15:34:00    276.850006\n","Name: close, dtype: float64"]},"metadata":{"tags":[]},"execution_count":407}]},{"cell_type":"code","metadata":{"id":"H6W27vsVYwi3","colab_type":"code","outputId":"f626958c-6629-45d9-f107-c4b9757bb193","executionInfo":{"status":"ok","timestamp":1562760392258,"user_tz":-540,"elapsed":689,"user":{"displayName":"조정효","photoUrl":"","userId":"12388356131346241220"}},"colab":{"base_uri":"https://localhost:8080/","height":139}},"source":["dibr = np.log(dib3).diff().dropna()\n","dibr.head()"],"execution_count":0,"outputs":[{"output_type":"execute_result","data":{"text/plain":["date_time\n","2018-11-27 12:26:00    0.010719\n","2018-11-28 14:04:00    0.005682\n","2018-11-29 14:23:00    0.002738\n","2018-11-29 14:25:00   -0.000182\n","2018-11-29 14:25:00   -0.000182\n","Name: close, dtype: float64"]},"metadata":{"tags":[]},"execution_count":408}]},{"cell_type":"code","metadata":{"id":"r-jQtKdiZb8v","colab_type":"code","outputId":"c7b1d282-3c0a-4498-be57-4dd413a67079","executionInfo":{"status":"ok","timestamp":1562760394423,"user_tz":-540,"elapsed":701,"user":{"displayName":"조정효","photoUrl":"","userId":"12388356131346241220"}},"colab":{"base_uri":"https://localhost:8080/","height":52}},"source":["print(\"dollar-bar return serial correlation: \", dr.autocorr(),s,\"dollar-imbalance-bar return serial correlation: \",dibr.autocorr())"],"execution_count":0,"outputs":[{"output_type":"stream","text":["dollar-bar return serial correlation:  0.008847900334507434 \n"," dollar-imbalance-bar return serial correlation:  -0.1018835664125324\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"mLq-KAY4Z3NQ","colab_type":"code","colab":{}},"source":[""],"execution_count":0,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"qrhfHEbQaYNj","colab_type":"text"},"source":["# 2.4. Bollinger Bands vs. CUSUM Filter (dollar bar)\n","- count 'outside the bands'\n","- standard deviation\n","- heteroscedastic"]},{"cell_type":"markdown","metadata":{"id":"kgIDNPvbrgCq","colab_type":"text"},"source":["## (a)"]},{"cell_type":"code","metadata":{"id":"ciwIzK9saZd_","colab_type":"code","outputId":"db76628f-cfc6-46be-f9b8-edd9f2a1cb82","executionInfo":{"status":"ok","timestamp":1562761017479,"user_tz":-540,"elapsed":709,"user":{"displayName":"조정효","photoUrl":"","userId":"12388356131346241220"}},"colab":{"base_uri":"https://localhost:8080/","height":233}},"source":["n = 20\n","ma = db.price.rolling(n).mean()\n","price_pct = 0.025\n","upper_band = ma + ma*price_pct\n","lower_band = ma - ma*price_pct\n","bb = pd.concat([db.price, ma, upper_band, lower_band], axis=1).dropna()\n","bb.columns=['price','ma','upper_band','lower_band']\n","bb.tail()"],"execution_count":0,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>price</th>\n","      <th>ma</th>\n","      <th>upper_band</th>\n","      <th>lower_band</th>\n","    </tr>\n","    <tr>\n","      <th>date_time</th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>2019-07-02 09:45:00</th>\n","      <td>277.750000</td>\n","      <td>278.425002</td>\n","      <td>285.385627</td>\n","      <td>271.464376</td>\n","    </tr>\n","    <tr>\n","      <th>2019-07-02 10:28:00</th>\n","      <td>277.850006</td>\n","      <td>278.412502</td>\n","      <td>285.372814</td>\n","      <td>271.452189</td>\n","    </tr>\n","    <tr>\n","      <th>2019-07-02 11:10:00</th>\n","      <td>277.049988</td>\n","      <td>278.302501</td>\n","      <td>285.260063</td>\n","      <td>271.344938</td>\n","    </tr>\n","    <tr>\n","      <th>2019-07-02 12:30:00</th>\n","      <td>277.250000</td>\n","      <td>278.215001</td>\n","      <td>285.170376</td>\n","      <td>271.259626</td>\n","    </tr>\n","    <tr>\n","      <th>2019-07-02 15:01:00</th>\n","      <td>277.049988</td>\n","      <td>278.107500</td>\n","      <td>285.060187</td>\n","      <td>271.154812</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                          price          ma  upper_band  lower_band\n","date_time                                                          \n","2019-07-02 09:45:00  277.750000  278.425002  285.385627  271.464376\n","2019-07-02 10:28:00  277.850006  278.412502  285.372814  271.452189\n","2019-07-02 11:10:00  277.049988  278.302501  285.260063  271.344938\n","2019-07-02 12:30:00  277.250000  278.215001  285.170376  271.259626\n","2019-07-02 15:01:00  277.049988  278.107500  285.060187  271.154812"]},"metadata":{"tags":[]},"execution_count":431}]},{"cell_type":"code","metadata":{"id":"UI14q1q3mITV","colab_type":"code","outputId":"64b62cac-4222-45d7-e56a-9255f987d096","executionInfo":{"status":"ok","timestamp":1562761022040,"user_tz":-540,"elapsed":1069,"user":{"displayName":"조정효","photoUrl":"","userId":"12388356131346241220"}},"colab":{"base_uri":"https://localhost:8080/","height":300}},"source":["bb.plot()"],"execution_count":0,"outputs":[{"output_type":"execute_result","data":{"text/plain":["<matplotlib.axes._subplots.AxesSubplot at 0x7f7bfbe770b8>"]},"metadata":{"tags":[]},"execution_count":432},{"output_type":"display_data","data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAAYIAAAEJCAYAAACZjSCSAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4zLCBo\ndHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAIABJREFUeJzsnXd4FNXegN+zPZveExI6hCaE3pGi\noiIIKogd8VpQ9FMvlmvFrnivih1BrNgLdhEsdELvJRAgAdJ72V7m+2N2Nz3ZFEBk3ufhYXfmzJkz\nu5vzO+dXhSRJKCgoKCicvahO9wAUFBQUFE4viiBQUFBQOMtRBIGCgoLCWY4iCBQUFBTOchRBoKCg\noHCWowgCBQUFhbMcRRAoKCgonOW0WBAIIQxCiE1CiJ1CiL1CiCc9xzsKITYKIdKEEF8IIXSe43rP\n+zTP+Q4tHYOCgoKCQvNpjR2BDRgnSVIy0Be4SAgxFJgHvCJJUhegGPiXp/2/gGLP8Vc87RQUFBQU\nThMtFgSSTIXnrdbzTwLGAV97jn8ITPG8nux5j+f8eUII0dJxKCgoKCg0D01rdCKEUANbgS7Am8Bh\noESSJKenyQkgwfM6ATgOIEmSUwhRCkQCBfX1HxUVJXXo0KE1hqqgoKBw1rB169YCSZKiG2vXKoJA\nkiQX0FcIEQYsBbq3tE8hxK3ArQDt2rVjy5YtLe1SQUFB4axCCJHhT7tW9RqSJKkE+AsYBoQJIbyC\nJhHI9LzOBNp6BqkBQoHCOvpaKEnSQEmSBkZHNyrQFBQUFBSaSWt4DUV7dgIIIQKAC4D9yAJhqqfZ\nDOB7z+sfPO/xnP9TUlKgKigoKJw2WkM1FA986LETqIAvJUn6SQixD/hcCPEMsB1Y7Gm/GPhYCJEG\nFAFXtcIYFBQUFBSaSYsFgSRJu4B+dRw/Agyu47gVmNbS+yooKCgotA5KZLGCgoLCWY4iCBQUFHxk\nlGXgcrtO9zAUTjGKIFBQUKDAUsAdv9/BxKUTeX/v+6d7OAqnGEUQKCgosDx9OWsy1wCQY8o5zaNR\nONW0SkCZgoLCmc2R0iMEa4PRa/TYXLbTPRyFU4wiCBQUFCiyFhFtjCbWGMt3ad8RpA3iwcEPnu5h\nKZwiFNWQgsJZzqf7P2V91nqijdG8cO4LjE4czZepX/Lxvo9Zc2INJ8pPKAbkfzjKjkBB4SymzF7G\ni5tfJDk6mYeHPEyEIYIZvWawM38nL25+0dfOoDbw6rhXGd5m+GkcrcLJQhEECgpnKZtzNjP7j9m4\nJBd39ruTTqGdABgUN4jV01dTbCsmvTSdI6VHeHLDk+wt2KsIgn8oimpI4R+HJEnkmHI4WnqUBTsX\nsObEmtM9pL8lPx7+EY1Kw+LxixkUN6jaOSEEEYYI+sf2Z2rSVAI0AZTYSk7TSBVONsqOQOEfRYGl\ngAdWP8DmnM3Vjv902U+0D2l/mkb19yTHlEPHkI4Mjq+VCaYWofpQSm2lp2BUCqcDZUegcMbjcrso\nsZaQXprOE+uf8AmBWGMs1/a4FoCd+TtP5xD/FrjcLrIqstiUvYmlh5aSUZZBoDbQr2vD9eEUWOut\nHaVwhqPsCBTOWA4UHeDOP+4kz5yHRGUm8+ndpvPo0EcBefL7ZP8nHC45jMPtQKvSnq7hnjZsLhvL\n05fz8NqHqx1XCzVTukyp56rq9IzsyTeHvmHBzgXMSp51MoapcBpRBIFCs5EkiSxTFnaXHZfbhUty\n4ZScla/dTlySi8SgRBKDE1v13huyNjB/23xyzbnc0vsWIgMiCdWHEqYPo39Mf187tUpNgCaA9/a8\nx3t73iNYF0yEIYJwfTjxQfE8MuQRQvWhrTq2vxtv73ibxXvkLPB3JN9Bv9h+JAYlEhcYh0bl3xTw\n0JCHKLAUsGDnAm7tcysqoSgT/kkogkCh2XyZ+iXPbHym0XYJQQksu2JZq9570e5FHCs7xk3n3MT/\n9f+/htuOX8SBwgMU2YoothZTbC0msyKTX4/+yuTOkxmRMKJVx/Z3wOl2klGWwf6i/SzPWE7PyJ7M\nHTaXnpE9m9WfXq1nWJthrDqxilJbKeGG8FYescLpRBEECs1mfdZ6AOaNmodapUYjNKhVatRCjUal\nQaPS8GXqlyxLX0ZKdgpD44e22r1zTbmMShjFvQPubbRtcnQyydHJ1Y6lFadx2Q+XUe4ob7Ux/R1w\nuV28svUVlqYtpcxe5jv++LDHmy0EvEQaIgHZ3jKm7ZgW9aXw90IRBArNxuQw0S+mHxM6Tai3jcPt\nYFn6Mm5ZfgsLzl/QKqtvSZLINecytu3YZvcRpAsCoNz+zxIEuwt28+G+DxmVMIpeUb0wO8zc2ufW\nVlF/JUcnE6AJ4K4/7+KZEc8wucvkVhixwt8BRdGn0CzMDjPZpmyMGmOD7Ya3Gc6a6bIf/8Higy2+\nryRJfJf2HTaXjRhjTLP7CdOHAfzjXCKPlB4BZJ3+7L6zuX/Q/a1mA4kPiufHKT8SpA1iT8GeVulT\n4e+BIggUmsWdf97J8fLjDe4GvIToQwCwOq0tvu/qE6t5fP3jxAXGtSjK1aAxEKAJoNha3OIx/Z3w\nCjavGqe1iQ2MJdYYS4FFcSX9J6EIAoUmI0kSW3O3cl3P67i086WNtlcJFTqVDovL0uJ7Hy09CsDS\nS5fSJbxLi/pqF9yO3zN+p8T6z4iYza7IZk/BHtRC9pQ6WUQZo8i35J+0/hVOPYogUGgyJocJt+Qm\nJsB/1YxBY2iVHUGZvQyVUPkdCNUQc4fNJd+Sz/Obnm9xX6eLvYV7mbdpHpd+dynjvxnP8ozl9I7q\njRDipN2zTWAbDhQd4MvUL0/aPRROLYqxWKHJVDgqgEqDqz8Y1IZWKXhS4aggSBvUKhNd7+jeDG8z\n3LfLOBO5b+V95JnzGBg3kCu6XsGINiPoHNb5pN7zjr53kFGWwTMpzzCx00SM2obtRF4252ymf0x/\n1Cr1SR2fQtNRBIFCk7G77IDsW+4vBo0Bi6N5qqFcUy4vbHqBXfm7KLWXEhUQ1ax+6kKn1p2xFbns\nLjsnKk5wR987uD359lN237jAOCZ3mcy2vG2U2csaFQSHig9x47IbKbOXMbvvbCUy+W+IIggUmoxX\nEGjV/qdrCNYFU+Yoa7xhHaw6sYrfj/3uez+92/Rm9VMXerXe9zxnGl7DcIQ+4pTfOzogGpBtNnGB\ncQ223ZSzyRfT8OPhH0kKTyI2MJY4YxzhhnAlSvlvgCIIFJqMw+0AaFLenlB9KAeLDvLtoW8ZmTCy\nXtfPzIpMLvrmIp4a/hQ9IntgdphJyU7BqDHyzgXv0CmsEyG6kFZ5DjhzBYEkSby9820AOoZ2POX3\n7xfTj2BdMA+ufpC3z3+bXlG96m1bYitBIBidOJqVJ1Zy9193+85pVVriAuN4ZsQz9I/tX28fCicX\nRRAoNBm7W544dSqd39dM7DSR+dvmM3f9XAC6R3RnQscJzDxnpq9Nqa2Upzc8DcDj6x+vdv2guEH0\njenb0qHXQqvS+p7nTGJ73na+OvgVM8+Z6Vca6cb460AeVoeLi3vH+9U+SBfEkouXcNXPV7E0bWnD\ngsBaQog+hFfHvUqRtYhcUy455hxyTblkm7L5YO8HbM/brgiC04giCBSajMPl2RE0QTU0qfMkJnaa\nyKGSQ6w5sYafjvzEy1tfZlrSNJ/R+YvUL1iXtY4RCSO4pOMlGLVGjBojRq3xpK16W8ub6VSTa84F\nYEpn/7KHNsbMD+TU3ekvXOL3NZ3COhGmD8PirN/2I0kShdZCwvRhqISKqIAoogKi6EUv3/kP9n6A\n1XXmfQf/JBRBoNBkvCvopqZ0FkKQFJ5EUngSYfowntjwhOwF5BEEh0sO0yawDQvOX9DqY66PQG0g\nVpcVp9vpdybOvwNmhxnAb4+dusgqsWB3uvlm24lqx9qE+R+DEKAJqFMQpBal8tzG5zhYfJAKRwUD\nYwfWeb0QggBNwBkpjP9JnDm/fIW/DU63E2iaaqgmgTo5DqDCXgGekIB8S36jhsfWJkgrCyGTw3RG\npaP2rqBbEjg2/IU/5T60le6cn206xpzx3fzuo74d1crjK9mWt43p3abTNawrIxNH1ttHgCbgH5fz\n6UxDEQQKTaY5qqGaBGuDgcqYhFJbKdkV2SSFJ7V8gE3AG5h2pgkC7yrcoDG0vC+Hy/NKonDDp1iH\n34MhyL800wGagDrVOrnmXML14b4CQQ0RHRCtpKw4zbTYb0sI0VYI8ZcQYp8QYq8Q4m7P8WQhxAYh\nxG4hxI9CiJAq1zwkhEgTQqQKIS5s6RgUTh3epG8alaZF/vxedVCZvQyr08rlP1zOiYoTDG3TslTV\naXkVVNicTR5Hse3MyjlkcVoQiBbtyqoyb6SGtODbeE6aT+H3j/h9XYAmAJPDVO2YW3JzvPy430kB\nYwNjOVh8UFEPnUZaw4HXCcyRJKknMBSYLYToCbwL/EeSpN7AUuB+AM+5q4BewEXAW0IIJdTwDGFZ\n+jJWnljJfQPva5EgiDPGIRC8vv11NmRtIM+cx6NDHuXq7lc3u8+MQhMXv7qaD9en+31Nz8ieGNQG\nXtn6Ci63q/EL/iZYnVYMGkOzI6yLTdU9pTqXrkfj2Z3ZJf8VBRGGCIqsRUhSZanQ//vz/0jJTqFP\ndB+/+ri2+7Vkm7J5eevLft9XoXVpsSCQJClbkqRtntflwH4gAUgCVnuarQCu8LyeDHwuSZJNkqSj\nQBrQcv83hVNCWkkaKqFq0YQN8ipw3rnzOFp61DcBdArr1KI+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l/3osTNd/RfXq5fTXRxD\nFeB/fiONx0vG5ZbILLFw+5KttIsw8uyU3oDAGhALzuoqmTB9WItUQ78c/QWQU0j4S0RABEWWhnP5\nfJ/2PRllGeiKZhKsCZfjNo6lQJ/p8MARuPUvOO9xiE9u9tgbQ60SpGgG8mvc7WAuqJV/qKZKb/XB\nfNobbbygWUi64RpMuxv2jNKpdb6a2AqnDiWgTKFRagZY6fB49DQh6KrUbSDSVrfv+cz3N3OsyMyI\nLpUT58guUTzz0z5MNiefjyxgwJZFlRfEX+z3fTUe/Xm51cltH2/B7nSz8IaBPjdVl0oPNWrlhhvC\n2Z2/m3d2vkPfmL70juqNUevf6vq39N94b897XNH1CpKj/Z+Q4wPj2ZyzmeNlx2kb0rbONhllGYTq\nQzFbOsleQpYScDugTX8w+q//bw7PXdabyCD5+9aoVJSqPOrA8iwIjvW1c7qru2etPpTP9drVXKVZ\nCUCHw0vAOhEMde8mtSpFNdRSMsoyeGTtI00q8qPsCBQaxeayNVsQ/PJ/oxACch1GpKIjUJBWK2rJ\na0Rcl1ZIEGYWaV+i6EQq3+3IYvbojgzQZeBAw/eu4azs8QRc9anfY/eqNT5Yf5S9WWXMv6ovXWKC\nUHmOu1S6WjuCKV2mEKoP5Y0db3Dz8psZ9tkwbltxWzU7Q31szN5IiC6Ex4Y+1qQqbjf2uhGNSsOc\nVXPq/QMushYRHRCNw+mWBcF+jwtnlYn4ZHHNkHZc2CsOkHPUpRt6AAJ+/U+1/ENOV/XP6GBuBZjk\nlOWp7kRi8tbBC23huUR4YxB8eCl8NxuK0wHZRqBkIG0ZKzJWsDN/J7sLdvt9jSIIFOrE6XayLnMd\nD695mBJbSbWqUTo8K7Ya1arqomebEP47NZkd7k6IglR4YwC82gd+uheOrKrWVo2LOZqvuEC9lX/v\nn06q4UbuWT8U1r9OpqYddzvupLDLNF+2TH9RqwRWh5v7xnfjvB7ypGnz2CAyK6RagmBip4l8P+V7\n1l61lrfOe4tzE89lfdb6BhPDuSU3uaZcjpYepU1QG5+XkMstMff7PWSWNGwoTwxO5LY+t7G/aD8F\nltq1HjbnbGZjzkZiA2Oxu9zE2dPh5znQaSx0Ozn5f+pDJQRFmmi4fCFkboENr/vO1bQRANjLC6gg\ngJvs95PSbx5c8BT0uw6iu4O9Qi58s+97QLYRKDuClpFjyiFcH07vqN6NN/agqIYUquF0O3l126v8\ncPgHiqxFBOuCuazLZVzTXXbVjAjUoTU3TTXULTaY+5xX02Pi3YxR74K0P2DXl7D1A/LurPQ8uVr9\nJzM1vwHwuXMM5yYn0SY6EnSBfLY/Cg7Vzq/vDxGBOoZ0jOCOMZ19xzIK5V3IrhwrQwLqnqRD9aGM\nShxFgaWAlcdXUmIrIUhX3Q312ZRn2ZSzicyKTJ/759i2Y33n92aV8uGGDH7fn8fiGwfSPa5+A7vX\nw6gugfPw2oeJMETw8OCHWf6vHUppAAAgAElEQVTHbuJt6SC5YPwzoGmdvEj+ohZCTvXR50r4/Qk5\nnbWHmqqhmGA9EdYySggmk2i+siUydEQVlZnbBU9F+DzKNCqNIghaiMlhwqg18vSIp/mMz/y6RhEE\nCtU4UnqED/Z+wJC4IVzd/WpGJY6qphYa1CGc8BwdmPBbEHgzhh5xRjFm6L9g0L9gy3vw071M+u/P\nQAQPXtSdyN/fIU8KY7BNdudMn1a50jXn7YFDGZRamj5J/DFnNEE6TTXvlyCPW6UJgxzo5nbXu9MI\n1cvG6VJbKYnBlUFsxdZiPk/9nHMiz+Hq7leTGJRIYnBitXoGAVp5Z5BZYuGi+WtIf6H+1XuQNsjX\nb8fQStfYMnsZOaYc/j3g3yQEtcUt7cbg9ggvw6kvDCREFQ8vrbFaoKDNY/CPp5C7NEsZpskjTnWQ\nw8h5n77ZdoKXrqwiCFRq0BjAUy9aLdRKAfsmklqUyprMNewt2Mvewr1km7LpEdHDVwXPHxRBoFAN\nr+vjjefcyMiEkbXOu9wSOuHZEfihGgJ86Q+qeZR4XE+DhIVcCa4f1p6dfxRwXIqus4/oYPleBRVN\nL4YTUkft4nHdYwDomBAHuYC9vN5J1Zt64sXNL/LQkIfoHiEXd8mqyALg1j63Mrbd2Dqv1Wn8V2N1\ni+gGwIxlM3jx3Be5uKNsFM+ukFNjJwYn4vDkyjDgMXD7acRuTQ7nmzicb+LeL3bwX7UBTZX4ELNd\nVrlNVq/jGs2fFBgH8nX5uWwKGgv15Z3TGmUVEbL3VLG1mKWHlvqC+xQaZtbvsyiwFNAuuB19o/ty\nTfdrGN224Uj2miiCQKEaXvVGXRWwAKwONzrhWZWr/SsO7418ddYhCLwxCUFqN7GimKNSXJ19JITJ\nu4qaxsjmolGrCDdqcXuzgtrqFwRdw7tyY68b+SL1Cz7e9zHPjpSL63mL3des0VAVP+zLPuIC43hp\n9EvM2zyPuevnkl6WTnZFNoeKDwGyW6vN6RUEHoNqK6eDbgpLt2fynzgNsfbKHYHdI6jiRSGlkhHV\nTb/y+DMr6BsSRledk2KzHavDhUFbJdI6KNaXkHBmr5lszd3K0ylPM6HThGpuywq1KbQUUmAp4L6B\n9zGj14xm96MYixWq4RUEVf8AU3PKWbFP9gxZm5ZPj5LVgACjf1GzXhfOqgFj3kk3RJhl4/M7o+ii\nyiJd363OPqb0S+D+C7vVLqHYAtQqFWbhmUgt9ccNqISKOQPnMChuEOuz1rM5ZzNQWazHq9Kpi6aK\nrfEdxnNZl8uwOC28teMt1mauRaVSMaXLFHpF9vIZufWSFRCyWqWVcOTmkv3Y4zgyMxtv7KFCqlTr\nAL7KZomigGwpkohAHcmJYRh1ap6afA4FFXaWpGRU7ySkDeTtB5cDo9bIuLbjcLgdvrxKCnVTaivl\noTUPAXKerJagCAKFangFQVW7wIXzV3PLR1sAGK/awhXqNTD6QQhN8KvPOncEIfEAzNZ8x2jDIcg/\ngOPch5nx4BsADO0UUauP2WO7+HT7rYFGJcjSdwKVBv56rtHl+429bkQlVMxaMYvUolRe2/4aWpWW\naGPd6iyglstpWl5Fo+O6Pfl2fr38V7Zct4U/r/yTTyZ8wtMjnsaoNfomWr3bKqtUmmM9rwPThg2k\njR5DyVdfkfdqnaXG68SmC5cDyzzYnW7e0s7nPPV29kpy4rs3runH85f1YVjnSEZ0ieTtlYerZZel\n//VQdFj+DpANxoBiNG6EHw//yIbsDdw38D4Gxg5sUV+KIFCoRl07Ai9peRX0UqXjlgSce7/ffQoh\nUKtEdRtBWDu45CX6qg7ztEGOC9B2GIJOq+GPOaNZPGNQyx7ED8IDdeyzx8rujKk/Q9rvDbYfFDeI\n+wbeh91t57YVt5FvzmfB+QuIMNQfzFVTtOzObDxiWa1SkxicWOd34BUEOskKjRSZaQrmzVt8xnJN\nuH/BafGhBrLd4VByDF7uBZ9dTeL2l5ig3sQmd3ee5WYAEsONtIuUd15zxnej0GTng/XplR31ugx6\nXS6XG6VSEDjdrVfi9J9IjikHvVrPDT1vqLP6XVNQBIFCNbzBPHVNQr/tzSGMChy6YL9z/XhRq0Rt\nH/NBN1NGEHHWI/L7EHmH0Tk6qMnJ0ppDp6hAjhaYoOcU+UBZ4yqRdiGy90uhtZBZybMYHD+4wfZV\nNwRBeg2bjjacRqIh8sqsvh2F1rsjaCXsx4+jjYtD17EjFatWYdmxo9FrusQE8UDmSP5seye0GwqF\naXTYJ3t8dRoykW1P1zb29m8XznndY3hn1eHqHmBRSeC0gNutCIJG8NV5MOcRa4xtsRAARRAo1KCq\nakiSJMqr5PH/bW8OHQId6IOans5AU3NH4CEKzwp58G0Q2aV5g24mHaMCOV5swa7x6PitjSea6xnR\nk/lj5/PzZT/7ZZyrqhoa2SWK1QcLKo/l7vVF3frD4Of+4NaPtwJgtOaCvn7bRFOwHT2Kdf8+1OHh\nRN78L1zl5Zy46/9w5OXVGU390MXdmTupJ11jgikklJsODUe64l1e7PIx/a0L+Cv8SiLH3lnv/e69\nIIkyq5PFa45UHvTGQrhsaFWyE4IiCKqTZ85j9h+zGfHZCIZ9OowtuVuIMca0St+K15BCNSpssivg\npNc2UlgufF4qALtOlNI+3lZZ3asJmO0uPliXzgMXdkOjrlx//Js5DG8fxNQJ/2754JtIx6hAXG6J\n4yYVnYUKrI1XJRNCcF678/y+h3cajaaYJ4tfodCch+NVreyCW5wOYe3hnl2N9lO1hOflYYeJyEuB\ncY/6PY56x+dykXH9DbjLy4m+9x7CrrgCyeEg54knSTt3NCqjEW2H9ug7diL6nrvRtW3LbaNl//TP\nNh3z9fPkj/v4YH06Vw8+h9FTrkI0UAntnIRQJvSOY/Hao9w4oiMRgbpKo7fTpuwI6iCjLIMp303B\nKVV+Ji7JxZi2Y1qlf0UQKFQjr0L2AGkXHsIl50QQFaTntT8OYbK7iKKUKEs6xPRvVt92l5tL31jH\nC1f0pk9iGPuyyvjWOoCkTt1b8Qn8p1O0nD31aIGZzoYwsLRerWIvXr//c1W7iS3azAGpDwZdLJ1i\nw2VBUJIhl/DsPbXBfnYck3dOt4zqyCP5b0NxOxh2V8vGlplJ9mOP4yoooM2L8wi99FIAwqZORdu2\nLfaj6dgzMrAfPUrZzz9j6NGdyJtv9l3ftUrBmg/Wp3PzyI48ckkPv1QV956fxK97cliw6jAPT+hR\nGZzoslcKAkkRBJIkkW3K5sfDP+KUnNw/8H6mJk1Fr9ajEqpWUQuBIggUamB12pAkwb9GdOECT5Kx\n48Vmvkg5wg/6RwiwlUGfac3uv6DCxpQ319EtLoT92WXo1CquHtSutYZfDVdZGZbt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lsTFaxgoJmh8AOdAjswKPdHmVv+l7u/u1uzhaepVeoc/XMxsqSY0s4nHWYG1vdWGH770fTeeGn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\n","text/plain":["<Figure size 432x288 with 1 Axes>"]},"metadata":{"tags":[]}}]},{"cell_type":"code","metadata":{"id":"xCqEbS023O_Y","colab_type":"code","outputId":"d7424025-2c1a-4b4b-fa41-ede44433cbdf","executionInfo":{"status":"ok","timestamp":1562761027191,"user_tz":-540,"elapsed":830,"user":{"displayName":"조정효","photoUrl":"","userId":"12388356131346241220"}},"colab":{"base_uri":"https://localhost:8080/","height":35}},"source":["len(bb[bb.price > bb.upper_band]) + len(bb[bb.price < bb.lower_band])"],"execution_count":0,"outputs":[{"output_type":"execute_result","data":{"text/plain":["1"]},"metadata":{"tags":[]},"execution_count":433}]},{"cell_type":"code","metadata":{"id":"OAzbqsu_UznC","colab_type":"code","outputId":"60da8de9-bc6d-42c1-8970-ad4ca220984e","executionInfo":{"status":"ok","timestamp":1562761027586,"user_tz":-540,"elapsed":506,"user":{"displayName":"조정효","photoUrl":"","userId":"12388356131346241220"}},"colab":{"base_uri":"https://localhost:8080/","height":35}},"source":["cross_count=0\n","for i in range(0, len(bb['price'])):\n","  if bb['price'][i] - bb.upper_band[i] >= 0 and bb['price'][i-1] - bb.upper_band[i-1] < 0:\n","    cross_count += 1\n","  if bb['price'][i] - bb.lower_band[i] < 0 and bb['price'][i-1] - bb.lower_band[i-1] >= 0:\n","    cross_count += 1\n","\n","cross_count"],"execution_count":0,"outputs":[{"output_type":"execute_result","data":{"text/plain":["1"]},"metadata":{"tags":[]},"execution_count":434}]},{"cell_type":"markdown","metadata":{"id":"xZonKQ6frj3K","colab_type":"text"},"source":["## (b)"]},{"cell_type":"code","metadata":{"id":"F3JMeuserksE","colab_type":"code","outputId":"84f979ac-a28f-4ca8-aab7-f85c32f47947","executionInfo":{"status":"ok","timestamp":1562761036819,"user_tz":-540,"elapsed":698,"user":{"displayName":"조정효","photoUrl":"","userId":"12388356131346241220"}},"colab":{"base_uri":"https://localhost:8080/","height":35}},"source":["from mlfinlab import filters\n","mlfinlabcusum = filters.cusum_filter(db2.price, 0.05)\n","len(mlfinlabcusum)"],"execution_count":0,"outputs":[{"output_type":"execute_result","data":{"text/plain":["8"]},"metadata":{"tags":[]},"execution_count":435}]},{"cell_type":"code","metadata":{"id":"3hKogoOYrphk","colab_type":"code","colab":{}},"source":["def getTEvents(gRaw,h):\n","  tEvents,sPos,sNeg=[],0,0\n","  \n","  diff=np.log(gRaw).diff()\n","  for i in diff.index[1:]:\n","    sPos,sNeg=max(0,sPos+diff.loc[i]),min(0,sNeg+diff.loc[i])\n","    if sNeg<-h:\n","      sNeg=0;tEvents.append(i)\n","    elif sPos>h:\n","      sPos=0;tEvents.append(i)\n","  \n","  return tEvents"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"chuPKHJDyzsh","colab_type":"code","outputId":"826698d4-0524-4ef9-e21c-af0c78010509","executionInfo":{"status":"ok","timestamp":1562761042517,"user_tz":-540,"elapsed":759,"user":{"displayName":"조정효","photoUrl":"","userId":"12388356131346241220"}},"colab":{"base_uri":"https://localhost:8080/","height":156}},"source":["t_events = getTEvents(db.price, 0.05)\n","t_events"],"execution_count":0,"outputs":[{"output_type":"execute_result","data":{"text/plain":["[Timestamp('2018-12-14 10:15:00'),\n"," Timestamp('2019-01-15 10:10:00'),\n"," Timestamp('2019-01-28 14:16:00'),\n"," Timestamp('2019-03-08 10:34:00'),\n"," Timestamp('2019-04-08 09:01:00'),\n"," Timestamp('2019-05-09 11:30:00'),\n"," Timestamp('2019-05-24 12:22:00'),\n"," Timestamp('2019-06-19 09:01:00')]"]},"metadata":{"tags":[]},"execution_count":437}]},{"cell_type":"code","metadata":{"id":"2TEvEXagzFUM","colab_type":"code","outputId":"90ca6dd5-544f-4180-e629-1de58cc104dc","executionInfo":{"status":"ok","timestamp":1562761042943,"user_tz":-540,"elapsed":531,"user":{"displayName":"조정효","photoUrl":"","userId":"12388356131346241220"}},"colab":{"base_uri":"https://localhost:8080/","height":35}},"source":["len(t_events)"],"execution_count":0,"outputs":[{"output_type":"execute_result","data":{"text/plain":["8"]},"metadata":{"tags":[]},"execution_count":438}]},{"cell_type":"markdown","metadata":{"id":"sUiBaz5j4gO2","colab_type":"text"},"source":["## (c)"]},{"cell_type":"code","metadata":{"id":"M0o36z-c4kiW","colab_type":"code","colab":{}},"source":["up = bb[bb.price > bb.upper_band].price"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"YVdy_0K36XqI","colab_type":"code","colab":{}},"source":["down = bb[bb.price < bb.lower_band].price"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"6qJRdVtT6eTI","colab_type":"code","colab":{}},"source":["bb_sampled = pd.concat([up,down],)"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"s0A3tFut3unv","colab_type":"code","outputId":"7537be36-7af3-4aed-d069-18e3fe32584c","executionInfo":{"status":"ok","timestamp":1562753924056,"user_tz":-540,"elapsed":687,"user":{"displayName":"조정효","photoUrl":"","userId":"12388356131346241220"}},"colab":{"base_uri":"https://localhost:8080/","height":139}},"source":["cusum_sampled = db.price.loc[t_events]\n","cusum_sampled.tail()"],"execution_count":0,"outputs":[{"output_type":"execute_result","data":{"text/plain":["date_time\n","2019-03-13 11:37:00    274.200012\n","2019-04-08 09:13:00    288.399994\n","2019-05-09 13:27:00    275.200012\n","2019-05-29 10:42:00    260.450012\n","2019-06-19 09:14:00    275.000000\n","Name: price, dtype: float64"]},"metadata":{"tags":[]},"execution_count":268}]},{"cell_type":"code","metadata":{"id":"1cXSfirR-v5e","colab_type":"code","outputId":"120ae755-1ea9-47f4-f1be-d3cbc5c7c651","executionInfo":{"status":"ok","timestamp":1562760671657,"user_tz":-540,"elapsed":854,"user":{"displayName":"조정효","photoUrl":"","userId":"12388356131346241220"}},"colab":{"base_uri":"https://localhost:8080/","height":589}},"source":["bb_sampled.rolling(20).std().dropna()"],"execution_count":0,"outputs":[{"output_type":"execute_result","data":{"text/plain":["date_time\n","2019-04-16 12:26:00     7.109072\n","2019-06-19 09:14:00     6.758139\n","2019-06-20 10:13:00     6.495259\n","2019-06-21 11:16:00     6.400770\n","2019-06-24 13:38:00     6.313905\n","2019-06-27 14:28:00     5.985097\n","2019-07-01 09:01:00     5.710021\n","2018-12-20 09:14:00     7.437670\n","2018-12-20 15:14:00     8.784687\n","2018-12-26 13:16:00    10.271362\n","2019-01-03 13:42:00    11.372017\n","2019-03-08 09:00:00    11.327788\n","2019-03-11 09:02:00    11.182429\n","2019-03-12 10:07:00    10.936677\n","2019-03-13 11:37:00    10.697237\n","2019-05-09 13:27:00    10.404375\n","2019-05-10 09:14:00    10.089207\n","2019-05-10 12:13:00     9.662551\n","2019-05-10 15:30:00     9.054172\n","2019-05-13 15:02:00     8.161806\n","2019-05-14 13:10:00     6.968303\n","2019-05-15 11:23:00     6.942039\n","2019-05-16 11:16:00     6.917378\n","2019-05-17 10:30:00     6.875863\n","2019-05-20 09:50:00     6.828209\n","2019-05-21 09:34:00     6.583089\n","2019-05-22 09:00:00     6.072990\n","2019-05-22 13:35:00     5.787032\n","2019-05-23 11:46:00     5.522943\n","2019-05-24 11:14:00     4.889573\n","2019-05-29 10:42:00     4.617796\n","Name: price, dtype: float64"]},"metadata":{"tags":[]},"execution_count":429}]},{"cell_type":"code","metadata":{"id":"6hzpju2I4Fr_","colab_type":"code","outputId":"cff7a9e1-53b1-4d7b-dd18-68b9b7bb9874","executionInfo":{"status":"ok","timestamp":1562760685090,"user_tz":-540,"elapsed":654,"user":{"displayName":"조정효","photoUrl":"","userId":"12388356131346241220"}},"colab":{"base_uri":"https://localhost:8080/","height":35}},"source":["cusum_sampled.rolling(20).std().dropna()"],"execution_count":0,"outputs":[{"output_type":"execute_result","data":{"text/plain":["Series([], Name: price, dtype: float64)"]},"metadata":{"tags":[]},"execution_count":430}]},{"cell_type":"code","metadata":{"id":"xlT8evxf8XgE","colab_type":"code","colab":{}},"source":[""],"execution_count":0,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"5_80O5WydnMK","colab_type":"text"},"source":["ML Algorithm"]},{"cell_type":"code","metadata":{"id":"2tbGjbZIdqqn","colab_type":"code","outputId":"012d479e-cf8b-4167-8b9b-16334e7bb718","executionInfo":{"status":"ok","timestamp":1562752035511,"user_tz":-540,"elapsed":831,"user":{"displayName":"조정효","photoUrl":"","userId":"12388356131346241220"}},"colab":{"base_uri":"https://localhost:8080/","height":35}},"source":["len(time)"],"execution_count":0,"outputs":[{"output_type":"execute_result","data":{"text/plain":["150"]},"metadata":{"tags":[]},"execution_count":182}]},{"cell_type":"code","metadata":{"id":"h1GMvdeYds7F","colab_type":"code","colab":{}},"source":["!pip install -q xgboost"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"TCQlqZmfeR0x","colab_type":"code","colab":{}},"source":["from xgboost import XGBRegressor\n"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"bhFMshaTetpr","colab_type":"code","colab":{}},"source":["from mlfinlab import data_structures"],"execution_count":0,"outputs":[]},{"cell_type":"code","metadata":{"id":"W6bBb6VafP9s","colab_type":"code","colab":{}},"source":["data_structures.get_tick_imbalance_bars()"],"execution_count":0,"outputs":[]}]}
